{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "source": [
    "import xgboost as xgb\n",
    "import pandas as pd \n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import roc_auc_score as AUC\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.preprocessing import LabelEncoder,LabelBinarizer\n",
    "from sklearn.model_selection  import cross_val_score\n",
    "\n",
    "from scipy import stats\n",
    "import seaborn as sns\n",
    "from copy import deepcopy\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "source": [
    "a=[i for i in range(15)]\n",
    "b=[i for i in range(35)]\n",
    "c=[i for i in range(34)]\n",
    "colname=['tradetime','brand','serial','model','mileage','color','cityid','carcode','transfercount','seating','registerdate','licenseDate','country','maketype','modelyear','displacement','gearbox','oiltype','newprice']\n",
    "colname=colname+a\n",
    "\n",
    "colname_withoutprice=colname\n",
    "colname=colname+['price']\n",
    "data_train=pd.read_table(\"/Users/wumozhou/Downloads/2021年MathorCup大数据竞赛赛道A/附件/附件1：估价训练数据.txt\",index_col=0,names=colname)\n",
    "data_test=pd.read_table(\"/Users/wumozhou/Downloads/2021年MathorCup大数据竞赛赛道A/附件/附件2：估价验证数据.txt\",index_col=0,names=colname_withoutprice)\n",
    "data_train.info()\n",
    "data_test.info()"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 30000 entries, 1 to 28672\n",
      "Data columns (total 35 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   tradetime      30000 non-null  object \n",
      " 1   brand          30000 non-null  int64  \n",
      " 2   serial         30000 non-null  int64  \n",
      " 3   model          30000 non-null  int64  \n",
      " 4   mileage        30000 non-null  float64\n",
      " 5   color          30000 non-null  int64  \n",
      " 6   cityid         30000 non-null  int64  \n",
      " 7   carcode        29991 non-null  float64\n",
      " 8   transfercount  30000 non-null  int64  \n",
      " 9   seating        30000 non-null  int64  \n",
      " 10  registerdate   30000 non-null  object \n",
      " 11  licenseDate    30000 non-null  object \n",
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      " 13  maketype       26359 non-null  float64\n",
      " 14  modelyear      29688 non-null  float64\n",
      " 15  displacement   30000 non-null  float64\n",
      " 16  gearbox        29999 non-null  float64\n",
      " 17  oiltype        30000 non-null  int64  \n",
      " 18  newprice       30000 non-null  float64\n",
      " 19  0              28418 non-null  float64\n",
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      " 21  2              30000 non-null  int64  \n",
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      " 23  4              30000 non-null  int64  \n",
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      " 28  9              23759 non-null  float64\n",
      " 29  10             29539 non-null  object \n",
      " 30  11             30000 non-null  object \n",
      " 31  12             28381 non-null  float64\n",
      " 32  13             30000 non-null  int64  \n",
      " 33  14             2420 non-null   object \n",
      " 34  price          30000 non-null  float64\n",
      "dtypes: float64(15), int64(13), object(7)\n",
      "memory usage: 8.2+ MB\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 5000 entries, 3 to 51844\n",
      "Data columns (total 34 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   tradetime      5000 non-null   object \n",
      " 1   brand          5000 non-null   int64  \n",
      " 2   serial         5000 non-null   int64  \n",
      " 3   model          5000 non-null   int64  \n",
      " 4   mileage        5000 non-null   float64\n",
      " 5   color          5000 non-null   int64  \n",
      " 6   cityid         5000 non-null   int64  \n",
      " 7   carcode        5000 non-null   int64  \n",
      " 8   transfercount  5000 non-null   int64  \n",
      " 9   seating        5000 non-null   int64  \n",
      " 10  registerdate   5000 non-null   object \n",
      " 11  licenseDate    5000 non-null   object \n",
      " 12  country        4604 non-null   float64\n",
      " 13  maketype       4625 non-null   float64\n",
      " 14  modelyear      4894 non-null   float64\n",
      " 15  displacement   5000 non-null   float64\n",
      " 16  gearbox        5000 non-null   int64  \n",
      " 17  oiltype        5000 non-null   int64  \n",
      " 18  newprice       5000 non-null   float64\n",
      " 19  0              4660 non-null   float64\n",
      " 20  1              5000 non-null   int64  \n",
      " 21  2              5000 non-null   int64  \n",
      " 22  3              3137 non-null   float64\n",
      " 23  4              5000 non-null   int64  \n",
      " 24  5              5000 non-null   int64  \n",
      " 25  6              1685 non-null   object \n",
      " 26  7              4584 non-null   float64\n",
      " 27  8              4587 non-null   float64\n",
      " 28  9              3769 non-null   float64\n",
      " 29  10             4927 non-null   object \n",
      " 30  11             4999 non-null   object \n",
      " 31  12             4740 non-null   float64\n",
      " 32  13             5000 non-null   int64  \n",
      " 33  14             281 non-null    object \n",
      "dtypes: float64(12), int64(15), object(7)\n",
      "memory usage: 1.3+ MB\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "source": [
    "data_train.head()"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
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       "      <th></th>\n",
       "      <th>tradetime</th>\n",
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       "      <th>1</th>\n",
       "      <td>2021-06-28</td>\n",
       "      <td>1</td>\n",
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       "      <td>4.01</td>\n",
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       "      <td>2018-01-26</td>\n",
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       "      <td>2017.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6.88</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>4.24</td>\n",
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       "      <td>2021-06-25</td>\n",
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       "      <td>2017.0</td>\n",
       "      <td>1.2</td>\n",
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       "      <td>11.98</td>\n",
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       "      <td>15.56</td>\n",
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       "      <td>2008-02-01</td>\n",
       "      <td>2008-02-27</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
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      "text/plain": [
       "    tradetime  brand  serial  model  mileage  color  cityid  carcode  \\\n",
       "1  2021-06-28      1       1      1     4.01      1       1      1.0   \n",
       "2  2021-06-25      2       2      2     8.60      1       2      1.0   \n",
       "5  2021-06-19      5       5      5    15.56      1       2      3.0   \n",
       "6  2021-06-29      6       6      6     6.04      1       3      1.0   \n",
       "7  2021-06-30      7       7      7     5.70      4       1      2.0   \n",
       "\n",
       "   transfercount  seating registerdate licenseDate   country  maketype  \\\n",
       "1              0        5   2017-12-01  2018-01-26  779413.0       1.0   \n",
       "2              0        5   2016-12-01  2017-03-21  779415.0       2.0   \n",
       "5              0        5   2008-02-01  2008-02-27       NaN       NaN   \n",
       "6              3        5   2016-08-01  2016-09-09  779413.0       1.0   \n",
       "7              2        5   2012-08-01  2012-08-28  779415.0       2.0   \n",
       "\n",
       "   modelyear  displacement  gearbox  oiltype  newprice    0  1  2    3  4  5  \\\n",
       "1     2017.0           1.5      1.0        1      6.88  1.0  1  1  1.0  1  1   \n",
       "2     2017.0           1.2      2.0        1     11.98  1.0  2  2  2.0  2  2   \n",
       "5     2008.0           1.6      4.0        1     12.78  1.0  2  2  5.0  5  2   \n",
       "6     2016.0           1.3      2.0        1      9.49  1.0  5  2  6.0  6  1   \n",
       "7     2012.0           2.0      5.0        1     18.08  1.0  5  2  7.0  7  1   \n",
       "\n",
       "            6    7    8    9   10              11        12  13   14  price  \n",
       "1         NaN  1.0  5.0  2.0    1  4220*1740*1625  201709.0   1  NaN   4.24  \n",
       "2         NaN  2.0  4.0  3.0  1+2  4630*1775*1480  201609.0   2  NaN   7.38  \n",
       "5         NaN  NaN  NaN  NaN  NaN  4515*1725*1445       NaN   2  NaN   1.00  \n",
       "6  2018-08-18  2.0  5.0  2.0    1  4500*1834*1707  201608.0   2  NaN   4.38  \n",
       "7  2020-09-20  1.0  5.0  2.0    1  4315*1783*1606  201204.0   1  NaN   5.90  "
      ]
     },
     "metadata": {},
     "execution_count": 3
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "source": [
    "data_test.head()"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
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       "      <td>2021-09-26</td>\n",
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       "      <td>2018.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>25.98</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1+2</td>\n",
       "      <td>4878*1925*1734</td>\n",
       "      <td>201710.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-08-14</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>8.04</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2012-11-01</td>\n",
       "      <td>2013-04-20</td>\n",
       "      <td>779411.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>26.90</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2018-06-14</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1+2</td>\n",
       "      <td>3723*1683*1407</td>\n",
       "      <td>201010.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2021-10-09</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>10.19</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2012-08-01</td>\n",
       "      <td>2012-09-12</td>\n",
       "      <td>779412.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.6</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>7.58</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4415*1674*1415</td>\n",
       "      <td>201003.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2021-09-30</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>2.27</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>779413.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>8.20</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1+2</td>\n",
       "      <td>4649*1830*1705</td>\n",
       "      <td>201907.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2021-08-09</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>7.03</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2018-11-01</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>779412.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>21.79</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1+2</td>\n",
       "      <td>4933*1836*1469</td>\n",
       "      <td>201810.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     tradetime  brand  serial  model  mileage  color  cityid  carcode  \\\n",
       "3   2021-09-26      3       3      3     6.64      2       3        1   \n",
       "4   2021-08-14      4       4      4     8.04      3       1        2   \n",
       "8   2021-10-09      8       8      8    10.19      5       1        2   \n",
       "9   2021-09-30      9       9      9     2.27      2       2        4   \n",
       "11  2021-08-09      8      11     11     7.03      2       3        1   \n",
       "\n",
       "    transfercount  seating registerdate licenseDate   country  maketype  \\\n",
       "3               0        7   2018-03-01  2018-08-20  779416.0       2.0   \n",
       "4               2        4   2012-11-01  2013-04-20  779411.0       3.0   \n",
       "8               0        5   2012-08-01  2012-09-12  779412.0       2.0   \n",
       "9               0        5   2019-12-01  2020-05-19  779413.0       1.0   \n",
       "11              0        5   2018-11-01  2019-03-08  779412.0       2.0   \n",
       "\n",
       "    modelyear  displacement  gearbox  oiltype  newprice    0  1  2     3   4  \\\n",
       "3      2018.0           2.0        3        1     25.98  1.0  3  2   3.0   3   \n",
       "4      2011.0           1.6        3        1     26.90  1.0  4  2   4.0   4   \n",
       "8         NaN           1.6        6        1      7.58  1.0  2  2   NaN   8   \n",
       "9      2019.0           1.5        7        1      8.20  1.0  5  2   9.0   9   \n",
       "11     2019.0           2.0        7        1     21.79  1.0  6  2  11.0  10   \n",
       "\n",
       "    5           6    7    8    9   10              11        12  13   14  \n",
       "3   1         NaN  2.0  5.0  2.0  1+2  4878*1925*1734  201710.0   1  NaN  \n",
       "4   3  2018-06-14  1.0  3.0  2.0  1+2  3723*1683*1407  201010.0   2  NaN  \n",
       "8   2         NaN  1.0  4.0  3.0  NaN  4415*1674*1415  201003.0   1  NaN  \n",
       "9   1         NaN  2.0  5.0  NaN  1+2  4649*1830*1705  201907.0   2  NaN  \n",
       "11  2         NaN  2.0  4.0  NaN  1+2  4933*1836*1469  201810.0   1  NaN  "
      ]
     },
     "metadata": {},
     "execution_count": 4
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "source": [
    "data_train[10]=data_train[10].apply(lambda x:np.nan if x is np.nan else eval(x))\n",
    "data_test[10]=data_test[10].apply(lambda x:np.nan if x is np.nan else eval(x))\n",
    "data_train[11]=data_train[11].apply(lambda x:np.nan if x is np.nan else eval(x))\n",
    "data_test[11]=data_test[11].apply(lambda x:np.nan if x is np.nan else eval(x))"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "source": [
    "data_train.head(n=10)"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tradetime</th>\n",
       "      <th>brand</th>\n",
       "      <th>serial</th>\n",
       "      <th>model</th>\n",
       "      <th>mileage</th>\n",
       "      <th>color</th>\n",
       "      <th>cityid</th>\n",
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       "      <th>maketype</th>\n",
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       "      <th>newprice</th>\n",
       "      <th>0</th>\n",
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       "      <th>3</th>\n",
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       "      <th>11</th>\n",
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       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-06-28</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4.01</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>5</td>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>2018-01-26</td>\n",
       "      <td>779413.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6.88</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1.0</td>\n",
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       "      <td>201709.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.24</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-06-25</td>\n",
       "      <td>2</td>\n",
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       "      <td>2</td>\n",
       "      <td>8.60</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2016-12-01</td>\n",
       "      <td>2017-03-21</td>\n",
       "      <td>779415.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>11.98</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>12163010000</td>\n",
       "      <td>201609.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2021-06-19</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>15.56</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2008-02-01</td>\n",
       "      <td>2008-02-27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>12.78</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11254201875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2021-06-29</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6.04</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2016-08-01</td>\n",
       "      <td>2016-09-09</td>\n",
       "      <td>779413.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.49</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-08-18</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14087871000</td>\n",
       "      <td>201608.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2021-06-30</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>5.70</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2012-08-01</td>\n",
       "      <td>2012-08-28</td>\n",
       "      <td>779415.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>18.08</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-09-20</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>12355993870</td>\n",
       "      <td>201204.0</td>\n",
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       "      <td>5.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2021-06-08</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>13.02</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2006-10-01</td>\n",
       "      <td>2006-11-27</td>\n",
       "      <td>779415.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>11.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2021-05-31</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>10500392500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2021-06-16</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>7.03</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2011-10-01</td>\n",
       "      <td>2012-03-13</td>\n",
       "      <td>779413.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>4.18</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>12.0</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10447210000</td>\n",
       "      <td>201005.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2021-07-17</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>4.64</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2018-11-01</td>\n",
       "      <td>2018-12-25</td>\n",
       "      <td>779413.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.68</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>13.0</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>12196548000</td>\n",
       "      <td>201808.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2021-07-30</td>\n",
       "      <td>8</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>16.27</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007-07-01</td>\n",
       "      <td>2007-07-17</td>\n",
       "      <td>779412.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>16.98</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>11684259840</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2021-05-30</td>\n",
       "      <td>13</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>5.45</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-09-01</td>\n",
       "      <td>2016-11-11</td>\n",
       "      <td>779416.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>13.79</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>15.0</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>11867943210</td>\n",
       "      <td>201507.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.98</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     tradetime  brand  serial  model  mileage  color  cityid  carcode  \\\n",
       "1   2021-06-28      1       1      1     4.01      1       1      1.0   \n",
       "2   2021-06-25      2       2      2     8.60      1       2      1.0   \n",
       "5   2021-06-19      5       5      5    15.56      1       2      3.0   \n",
       "6   2021-06-29      6       6      6     6.04      1       3      1.0   \n",
       "7   2021-06-30      7       7      7     5.70      4       1      2.0   \n",
       "10  2021-06-08      2      10     10    13.02      1       2      3.0   \n",
       "12  2021-06-16     10      12     12     7.03      5       3      2.0   \n",
       "13  2021-07-17      6      13     13     4.64      1       3      1.0   \n",
       "14  2021-07-30      8      14     14    16.27      4       1      2.0   \n",
       "18  2021-05-30     13      18     18     5.45      1       2      1.0   \n",
       "\n",
       "    transfercount  seating registerdate licenseDate   country  maketype  \\\n",
       "1               0        5   2017-12-01  2018-01-26  779413.0       1.0   \n",
       "2               0        5   2016-12-01  2017-03-21  779415.0       2.0   \n",
       "5               0        5   2008-02-01  2008-02-27       NaN       NaN   \n",
       "6               3        5   2016-08-01  2016-09-09  779413.0       1.0   \n",
       "7               2        5   2012-08-01  2012-08-28  779415.0       2.0   \n",
       "10              1        5   2006-10-01  2006-11-27  779415.0       2.0   \n",
       "12              0        5   2011-10-01  2012-03-13  779413.0       1.0   \n",
       "13              0        5   2018-11-01  2018-12-25  779413.0       1.0   \n",
       "14              0        5   2007-07-01  2007-07-17  779412.0       2.0   \n",
       "18              0        5   2015-09-01  2016-11-11  779416.0       2.0   \n",
       "\n",
       "    modelyear  displacement  gearbox  oiltype  newprice    0  1  2     3   4  \\\n",
       "1      2017.0           1.5      1.0        1      6.88  1.0  1  1   1.0   1   \n",
       "2      2017.0           1.2      2.0        1     11.98  1.0  2  2   2.0   2   \n",
       "5      2008.0           1.6      4.0        1     12.78  1.0  2  2   5.0   5   \n",
       "6      2016.0           1.3      2.0        1      9.49  1.0  5  2   6.0   6   \n",
       "7      2012.0           2.0      5.0        1     18.08  1.0  5  2   7.0   7   \n",
       "10     2006.0           1.5      4.0        1     11.25  1.0  4  2  10.0   2   \n",
       "12     2010.0           1.0      6.0        1      4.18  1.0  7  2  12.0  11   \n",
       "13     2018.0           1.4      2.0        1      9.68  1.0  2  2  13.0   6   \n",
       "14     2006.0           2.0      3.0        1     16.98  1.0  2  2   NaN   8   \n",
       "18        NaN           1.5      3.0        1     13.79  1.0  2  2  15.0  14   \n",
       "\n",
       "    5           6    7    8    9   10           11        12  13   14  price  \n",
       "1   1         NaN  1.0  5.0  2.0    1  11932050000  201709.0   1  NaN   4.24  \n",
       "2   2         NaN  2.0  4.0  3.0    3  12163010000  201609.0   2  NaN   7.38  \n",
       "5   2         NaN  NaN  NaN  NaN  NaN  11254201875       NaN   2  NaN   1.00  \n",
       "6   1  2018-08-18  2.0  5.0  2.0    1  14087871000  201608.0   2  NaN   4.38  \n",
       "7   1  2020-09-20  1.0  5.0  2.0    1  12355993870  201204.0   1  NaN   5.90  \n",
       "10  2  2021-05-31  1.0  4.0  3.0    1  10500392500       NaN   1  NaN   1.49  \n",
       "12  4         NaN  1.0  5.0  3.0  NaN  10447210000  201005.0   2  NaN   0.30  \n",
       "13  2         NaN  2.0  4.0  NaN    1  12196548000  201808.0   1  NaN   5.95  \n",
       "14  2         NaN  1.0  4.0  3.0    3  11684259840       NaN   1  NaN   1.18  \n",
       "18  2         NaN  1.0  4.0  3.0    3  11867943210  201507.0   2  NaN   4.98  "
      ]
     },
     "metadata": {},
     "execution_count": 6
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "source": [
    "data_test.head()"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tradetime</th>\n",
       "      <th>brand</th>\n",
       "      <th>serial</th>\n",
       "      <th>model</th>\n",
       "      <th>mileage</th>\n",
       "      <th>color</th>\n",
       "      <th>cityid</th>\n",
       "      <th>carcode</th>\n",
       "      <th>transfercount</th>\n",
       "      <th>seating</th>\n",
       "      <th>registerdate</th>\n",
       "      <th>licenseDate</th>\n",
       "      <th>country</th>\n",
       "      <th>maketype</th>\n",
       "      <th>modelyear</th>\n",
       "      <th>displacement</th>\n",
       "      <th>gearbox</th>\n",
       "      <th>oiltype</th>\n",
       "      <th>newprice</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-09-26</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6.64</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>2018-08-20</td>\n",
       "      <td>779416.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>25.98</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.628252e+10</td>\n",
       "      <td>201710.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-08-14</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>8.04</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2012-11-01</td>\n",
       "      <td>2013-04-20</td>\n",
       "      <td>779411.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>26.90</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2018-06-14</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3</td>\n",
       "      <td>8.815993e+09</td>\n",
       "      <td>201010.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2021-10-09</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>10.19</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2012-08-01</td>\n",
       "      <td>2012-09-12</td>\n",
       "      <td>779412.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.6</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>7.58</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.045785e+10</td>\n",
       "      <td>201003.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2021-09-30</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>2.27</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>2020-05-19</td>\n",
       "      <td>779413.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>8.20</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>1.450558e+10</td>\n",
       "      <td>201907.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2021-08-09</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>7.03</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2018-11-01</td>\n",
       "      <td>2019-03-08</td>\n",
       "      <td>779412.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>21.79</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>1.330472e+10</td>\n",
       "      <td>201810.0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     tradetime  brand  serial  model  mileage  color  cityid  carcode  \\\n",
       "3   2021-09-26      3       3      3     6.64      2       3        1   \n",
       "4   2021-08-14      4       4      4     8.04      3       1        2   \n",
       "8   2021-10-09      8       8      8    10.19      5       1        2   \n",
       "9   2021-09-30      9       9      9     2.27      2       2        4   \n",
       "11  2021-08-09      8      11     11     7.03      2       3        1   \n",
       "\n",
       "    transfercount  seating registerdate licenseDate   country  maketype  \\\n",
       "3               0        7   2018-03-01  2018-08-20  779416.0       2.0   \n",
       "4               2        4   2012-11-01  2013-04-20  779411.0       3.0   \n",
       "8               0        5   2012-08-01  2012-09-12  779412.0       2.0   \n",
       "9               0        5   2019-12-01  2020-05-19  779413.0       1.0   \n",
       "11              0        5   2018-11-01  2019-03-08  779412.0       2.0   \n",
       "\n",
       "    modelyear  displacement  gearbox  oiltype  newprice    0  1  2     3   4  \\\n",
       "3      2018.0           2.0        3        1     25.98  1.0  3  2   3.0   3   \n",
       "4      2011.0           1.6        3        1     26.90  1.0  4  2   4.0   4   \n",
       "8         NaN           1.6        6        1      7.58  1.0  2  2   NaN   8   \n",
       "9      2019.0           1.5        7        1      8.20  1.0  5  2   9.0   9   \n",
       "11     2019.0           2.0        7        1     21.79  1.0  6  2  11.0  10   \n",
       "\n",
       "    5           6    7    8    9   10            11        12  13   14  \n",
       "3   1         NaN  2.0  5.0  2.0    3  1.628252e+10  201710.0   1  NaN  \n",
       "4   3  2018-06-14  1.0  3.0  2.0    3  8.815993e+09  201010.0   2  NaN  \n",
       "8   2         NaN  1.0  4.0  3.0  NaN  1.045785e+10  201003.0   1  NaN  \n",
       "9   1         NaN  2.0  5.0  NaN    3  1.450558e+10  201907.0   2  NaN  \n",
       "11  2         NaN  2.0  4.0  NaN    3  1.330472e+10  201810.0   1  NaN  "
      ]
     },
     "metadata": {},
     "execution_count": 7
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "source": [
    "data_train.describe(include='all')"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tradetime</th>\n",
       "      <th>brand</th>\n",
       "      <th>serial</th>\n",
       "      <th>model</th>\n",
       "      <th>mileage</th>\n",
       "      <th>color</th>\n",
       "      <th>cityid</th>\n",
       "      <th>carcode</th>\n",
       "      <th>transfercount</th>\n",
       "      <th>seating</th>\n",
       "      <th>registerdate</th>\n",
       "      <th>licenseDate</th>\n",
       "      <th>country</th>\n",
       "      <th>maketype</th>\n",
       "      <th>modelyear</th>\n",
       "      <th>displacement</th>\n",
       "      <th>gearbox</th>\n",
       "      <th>oiltype</th>\n",
       "      <th>newprice</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
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       "      <th>11</th>\n",
       "      <th>12</th>\n",
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       "      <th>price</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>30000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>29991.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000</td>\n",
       "      <td>30000</td>\n",
       "      <td>26243.000000</td>\n",
       "      <td>26359.000000</td>\n",
       "      <td>29688.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>29999.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>28418.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>17892.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>11956</td>\n",
       "      <td>26225.000000</td>\n",
       "      <td>26256.000000</td>\n",
       "      <td>23759.000000</td>\n",
       "      <td>29539.0</td>\n",
       "      <td>3.000000e+04</td>\n",
       "      <td>28381.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>2420</td>\n",
       "      <td>30000.000000</td>\n",
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       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>553</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>200</td>\n",
       "      <td>3690</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1954</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1980</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>2021-06-05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-01</td>\n",
       "      <td>2018-01-03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-10-12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2100-12-31</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>119</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>437</td>\n",
       "      <td>51</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19080.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>19.228300</td>\n",
       "      <td>237.707733</td>\n",
       "      <td>5312.047767</td>\n",
       "      <td>7.144473</td>\n",
       "      <td>2.786700</td>\n",
       "      <td>7.683000</td>\n",
       "      <td>1.612184</td>\n",
       "      <td>0.510900</td>\n",
       "      <td>5.110000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>777394.286667</td>\n",
       "      <td>2.060700</td>\n",
       "      <td>2014.496261</td>\n",
       "      <td>1.941000</td>\n",
       "      <td>12.194506</td>\n",
       "      <td>1.036500</td>\n",
       "      <td>28.839294</td>\n",
       "      <td>1.003519</td>\n",
       "      <td>5.245667</td>\n",
       "      <td>2.031067</td>\n",
       "      <td>215.428683</td>\n",
       "      <td>26.313867</td>\n",
       "      <td>2.299467</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.582307</td>\n",
       "      <td>4.418761</td>\n",
       "      <td>2.507934</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.318762e+10</td>\n",
       "      <td>201449.680631</td>\n",
       "      <td>1.398133</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.062224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>18.009168</td>\n",
       "      <td>233.329093</td>\n",
       "      <td>4055.789248</td>\n",
       "      <td>4.383048</td>\n",
       "      <td>2.037599</td>\n",
       "      <td>9.294335</td>\n",
       "      <td>0.809380</td>\n",
       "      <td>0.796347</td>\n",
       "      <td>0.671204</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39624.220431</td>\n",
       "      <td>0.561185</td>\n",
       "      <td>3.204117</td>\n",
       "      <td>0.569033</td>\n",
       "      <td>9.382793</td>\n",
       "      <td>0.217645</td>\n",
       "      <td>27.022943</td>\n",
       "      <td>0.083819</td>\n",
       "      <td>3.373074</td>\n",
       "      <td>0.424548</td>\n",
       "      <td>196.882864</td>\n",
       "      <td>25.557234</td>\n",
       "      <td>1.718687</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.767380</td>\n",
       "      <td>0.614021</td>\n",
       "      <td>0.500200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.932043e+09</td>\n",
       "      <td>282.230336</td>\n",
       "      <td>0.496486</td>\n",
       "      <td>NaN</td>\n",
       "      <td>629.444049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2004.000000</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.680000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.436706e+09</td>\n",
       "      <td>200606.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.050000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>1171.000000</td>\n",
       "      <td>3.907500</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>779412.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2012.000000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>13.780000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.198392e+10</td>\n",
       "      <td>201211.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>162.000000</td>\n",
       "      <td>4920.500000</td>\n",
       "      <td>6.540000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>779413.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>21.980000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>156.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.294695e+10</td>\n",
       "      <td>201504.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.479900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>312.000000</td>\n",
       "      <td>8976.000000</td>\n",
       "      <td>9.540000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>779415.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2017.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>34.970000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>310.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.415981e+10</td>\n",
       "      <td>201702.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>133.000000</td>\n",
       "      <td>1248.000000</td>\n",
       "      <td>12735.000000</td>\n",
       "      <td>44.740000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>779421.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2021.000000</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>648.800000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>1037.000000</td>\n",
       "      <td>177.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.203787e+10</td>\n",
       "      <td>202105.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109000.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         tradetime         brand        serial         model       mileage  \\\n",
       "count        30000  30000.000000  30000.000000  30000.000000  30000.000000   \n",
       "unique         553           NaN           NaN           NaN           NaN   \n",
       "top     2021-06-05           NaN           NaN           NaN           NaN   \n",
       "freq           119           NaN           NaN           NaN           NaN   \n",
       "mean           NaN     19.228300    237.707733   5312.047767      7.144473   \n",
       "std            NaN     18.009168    233.329093   4055.789248      4.383048   \n",
       "min            NaN      1.000000      1.000000      1.000000      0.010000   \n",
       "25%            NaN      8.000000     76.000000   1171.000000      3.907500   \n",
       "50%            NaN     13.000000    162.000000   4920.500000      6.540000   \n",
       "75%            NaN     23.000000    312.000000   8976.000000      9.540000   \n",
       "max            NaN    133.000000   1248.000000  12735.000000     44.740000   \n",
       "\n",
       "               color        cityid       carcode  transfercount       seating  \\\n",
       "count   30000.000000  30000.000000  29991.000000   30000.000000  30000.000000   \n",
       "unique           NaN           NaN           NaN            NaN           NaN   \n",
       "top              NaN           NaN           NaN            NaN           NaN   \n",
       "freq             NaN           NaN           NaN            NaN           NaN   \n",
       "mean        2.786700      7.683000      1.612184       0.510900      5.110000   \n",
       "std         2.037599      9.294335      0.809380       0.796347      0.671204   \n",
       "min         1.000000      1.000000      1.000000       0.000000      2.000000   \n",
       "25%         1.000000      1.000000      1.000000       0.000000      5.000000   \n",
       "50%         2.000000      4.000000      1.000000       0.000000      5.000000   \n",
       "75%         5.000000     14.000000      2.000000       1.000000      5.000000   \n",
       "max        10.000000     93.000000      6.000000      10.000000      9.000000   \n",
       "\n",
       "       registerdate licenseDate        country      maketype     modelyear  \\\n",
       "count         30000       30000   26243.000000  26359.000000  29688.000000   \n",
       "unique          200        3690            NaN           NaN           NaN   \n",
       "top      2016-12-01  2018-01-03            NaN           NaN           NaN   \n",
       "freq            437          51            NaN           NaN           NaN   \n",
       "mean            NaN         NaN  777394.286667      2.060700   2014.496261   \n",
       "std             NaN         NaN   39624.220431      0.561185      3.204117   \n",
       "min             NaN         NaN       0.000000      1.000000   2004.000000   \n",
       "25%             NaN         NaN  779412.000000      2.000000   2012.000000   \n",
       "50%             NaN         NaN  779413.000000      2.000000   2015.000000   \n",
       "75%             NaN         NaN  779415.000000      2.000000   2017.000000   \n",
       "max             NaN         NaN  779421.000000      3.000000   2021.000000   \n",
       "\n",
       "        displacement       gearbox       oiltype      newprice             0  \\\n",
       "count   30000.000000  29999.000000  30000.000000  30000.000000  28418.000000   \n",
       "unique           NaN           NaN           NaN           NaN           NaN   \n",
       "top              NaN           NaN           NaN           NaN           NaN   \n",
       "freq             NaN           NaN           NaN           NaN           NaN   \n",
       "mean        1.941000     12.194506      1.036500     28.839294      1.003519   \n",
       "std         0.569033      9.382793      0.217645     27.022943      0.083819   \n",
       "min         0.650000      1.000000      1.000000      2.680000      1.000000   \n",
       "25%         1.500000      3.000000      1.000000     13.780000      1.000000   \n",
       "50%         2.000000     11.000000      1.000000     21.980000      1.000000   \n",
       "75%         2.000000     18.000000      1.000000     34.970000      1.000000   \n",
       "max         6.800000     41.000000      5.000000    648.800000      3.000000   \n",
       "\n",
       "                   1             2             3             4             5  \\\n",
       "count   30000.000000  30000.000000  17892.000000  30000.000000  30000.000000   \n",
       "unique           NaN           NaN           NaN           NaN           NaN   \n",
       "top              NaN           NaN           NaN           NaN           NaN   \n",
       "freq             NaN           NaN           NaN           NaN           NaN   \n",
       "mean        5.245667      2.031067    215.428683     26.313867      2.299467   \n",
       "std         3.373074      0.424548    196.882864     25.557234      1.718687   \n",
       "min         1.000000      1.000000      1.000000      1.000000      1.000000   \n",
       "25%         2.000000      2.000000     68.000000      9.000000      1.000000   \n",
       "50%         5.000000      2.000000    156.000000     19.000000      2.000000   \n",
       "75%         6.000000      2.000000    310.000000     34.000000      2.000000   \n",
       "max        18.000000     11.000000   1037.000000    177.000000     15.000000   \n",
       "\n",
       "                 6             7             8             9       10  \\\n",
       "count        11956  26225.000000  26256.000000  23759.000000  29539.0   \n",
       "unique        1954           NaN           NaN           NaN      5.0   \n",
       "top     2020-10-12           NaN           NaN           NaN      3.0   \n",
       "freq            45           NaN           NaN           NaN  19080.0   \n",
       "mean           NaN      1.582307      4.418761      2.507934      NaN   \n",
       "std            NaN      0.767380      0.614021      0.500200      NaN   \n",
       "min            NaN      1.000000      2.000000      1.000000      NaN   \n",
       "25%            NaN      1.000000      4.000000      2.000000      NaN   \n",
       "50%            NaN      1.000000      4.000000      3.000000      NaN   \n",
       "75%            NaN      2.000000      5.000000      3.000000      NaN   \n",
       "max            NaN      8.000000      6.000000      3.000000      NaN   \n",
       "\n",
       "                  11             12            13          14          price  \n",
       "count   3.000000e+04   28381.000000  30000.000000        2420   30000.000000  \n",
       "unique           NaN            NaN           NaN        1980            NaN  \n",
       "top              NaN            NaN           NaN  2100-12-31            NaN  \n",
       "freq             NaN            NaN           NaN          51            NaN  \n",
       "mean    1.318762e+10  201449.680631      1.398133         NaN      18.062224  \n",
       "std     1.932043e+09     282.230336      0.496486         NaN     629.444049  \n",
       "min     6.436706e+09  200606.000000      1.000000         NaN       0.050000  \n",
       "25%     1.198392e+10  201211.000000      1.000000         NaN       6.100000  \n",
       "50%     1.294695e+10  201504.000000      1.000000         NaN      10.479900  \n",
       "75%     1.415981e+10  201702.000000      2.000000         NaN      18.000000  \n",
       "max     3.203787e+10  202105.000000      3.000000         NaN  109000.000000  "
      ]
     },
     "metadata": {},
     "execution_count": 8
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "source": [
    "train=data_train\n",
    "validation=data_test\n",
    "cont_features = [cont for cont in list(train.select_dtypes(include=['float64','int64'])) ]\n",
    "cont_features2 = [cont for cont in list(train.select_dtypes(include=['float64','int64']))if cont not in ['price'] ]\n",
    "print('连续特征Continuous: {} features'.format(len(cont_features)))\n",
    "data1=data_train[cont_features]\n",
    "vali1=validation[cont_features2]\n",
    "data1.describe()"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "连续特征Continuous: 29 features\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>brand</th>\n",
       "      <th>serial</th>\n",
       "      <th>model</th>\n",
       "      <th>mileage</th>\n",
       "      <th>color</th>\n",
       "      <th>cityid</th>\n",
       "      <th>carcode</th>\n",
       "      <th>transfercount</th>\n",
       "      <th>seating</th>\n",
       "      <th>country</th>\n",
       "      <th>maketype</th>\n",
       "      <th>modelyear</th>\n",
       "      <th>displacement</th>\n",
       "      <th>gearbox</th>\n",
       "      <th>oiltype</th>\n",
       "      <th>newprice</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>29991.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>26243.000000</td>\n",
       "      <td>26359.000000</td>\n",
       "      <td>29688.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>29999.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>28418.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>17892.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>26225.000000</td>\n",
       "      <td>26256.000000</td>\n",
       "      <td>23759.000000</td>\n",
       "      <td>3.000000e+04</td>\n",
       "      <td>28381.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>19.228300</td>\n",
       "      <td>237.707733</td>\n",
       "      <td>5312.047767</td>\n",
       "      <td>7.144473</td>\n",
       "      <td>2.786700</td>\n",
       "      <td>7.683000</td>\n",
       "      <td>1.612184</td>\n",
       "      <td>0.510900</td>\n",
       "      <td>5.110000</td>\n",
       "      <td>777394.286667</td>\n",
       "      <td>2.060700</td>\n",
       "      <td>2014.496261</td>\n",
       "      <td>1.941000</td>\n",
       "      <td>12.194506</td>\n",
       "      <td>1.036500</td>\n",
       "      <td>28.839294</td>\n",
       "      <td>1.003519</td>\n",
       "      <td>5.245667</td>\n",
       "      <td>2.031067</td>\n",
       "      <td>215.428683</td>\n",
       "      <td>26.313867</td>\n",
       "      <td>2.299467</td>\n",
       "      <td>1.582307</td>\n",
       "      <td>4.418761</td>\n",
       "      <td>2.507934</td>\n",
       "      <td>1.318762e+10</td>\n",
       "      <td>201449.680631</td>\n",
       "      <td>1.398133</td>\n",
       "      <td>18.062224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>18.009168</td>\n",
       "      <td>233.329093</td>\n",
       "      <td>4055.789248</td>\n",
       "      <td>4.383048</td>\n",
       "      <td>2.037599</td>\n",
       "      <td>9.294335</td>\n",
       "      <td>0.809380</td>\n",
       "      <td>0.796347</td>\n",
       "      <td>0.671204</td>\n",
       "      <td>39624.220431</td>\n",
       "      <td>0.561185</td>\n",
       "      <td>3.204117</td>\n",
       "      <td>0.569033</td>\n",
       "      <td>9.382793</td>\n",
       "      <td>0.217645</td>\n",
       "      <td>27.022943</td>\n",
       "      <td>0.083819</td>\n",
       "      <td>3.373074</td>\n",
       "      <td>0.424548</td>\n",
       "      <td>196.882864</td>\n",
       "      <td>25.557234</td>\n",
       "      <td>1.718687</td>\n",
       "      <td>0.767380</td>\n",
       "      <td>0.614021</td>\n",
       "      <td>0.500200</td>\n",
       "      <td>1.932043e+09</td>\n",
       "      <td>282.230336</td>\n",
       "      <td>0.496486</td>\n",
       "      <td>629.444049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2004.000000</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.680000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.436706e+09</td>\n",
       "      <td>200606.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.050000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>1171.000000</td>\n",
       "      <td>3.907500</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>779412.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2012.000000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>13.780000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.198392e+10</td>\n",
       "      <td>201211.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>13.000000</td>\n",
       "      <td>162.000000</td>\n",
       "      <td>4920.500000</td>\n",
       "      <td>6.540000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>779413.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>21.980000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>156.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.294695e+10</td>\n",
       "      <td>201504.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.479900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>23.000000</td>\n",
       "      <td>312.000000</td>\n",
       "      <td>8976.000000</td>\n",
       "      <td>9.540000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>779415.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2017.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>34.970000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>310.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.415981e+10</td>\n",
       "      <td>201702.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>18.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>133.000000</td>\n",
       "      <td>1248.000000</td>\n",
       "      <td>12735.000000</td>\n",
       "      <td>44.740000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>779421.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2021.000000</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>648.800000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>1037.000000</td>\n",
       "      <td>177.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.203787e+10</td>\n",
       "      <td>202105.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>109000.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              brand        serial         model       mileage         color  \\\n",
       "count  30000.000000  30000.000000  30000.000000  30000.000000  30000.000000   \n",
       "mean      19.228300    237.707733   5312.047767      7.144473      2.786700   \n",
       "std       18.009168    233.329093   4055.789248      4.383048      2.037599   \n",
       "min        1.000000      1.000000      1.000000      0.010000      1.000000   \n",
       "25%        8.000000     76.000000   1171.000000      3.907500      1.000000   \n",
       "50%       13.000000    162.000000   4920.500000      6.540000      2.000000   \n",
       "75%       23.000000    312.000000   8976.000000      9.540000      5.000000   \n",
       "max      133.000000   1248.000000  12735.000000     44.740000     10.000000   \n",
       "\n",
       "             cityid       carcode  transfercount       seating        country  \\\n",
       "count  30000.000000  29991.000000   30000.000000  30000.000000   26243.000000   \n",
       "mean       7.683000      1.612184       0.510900      5.110000  777394.286667   \n",
       "std        9.294335      0.809380       0.796347      0.671204   39624.220431   \n",
       "min        1.000000      1.000000       0.000000      2.000000       0.000000   \n",
       "25%        1.000000      1.000000       0.000000      5.000000  779412.000000   \n",
       "50%        4.000000      1.000000       0.000000      5.000000  779413.000000   \n",
       "75%       14.000000      2.000000       1.000000      5.000000  779415.000000   \n",
       "max       93.000000      6.000000      10.000000      9.000000  779421.000000   \n",
       "\n",
       "           maketype     modelyear  displacement       gearbox       oiltype  \\\n",
       "count  26359.000000  29688.000000  30000.000000  29999.000000  30000.000000   \n",
       "mean       2.060700   2014.496261      1.941000     12.194506      1.036500   \n",
       "std        0.561185      3.204117      0.569033      9.382793      0.217645   \n",
       "min        1.000000   2004.000000      0.650000      1.000000      1.000000   \n",
       "25%        2.000000   2012.000000      1.500000      3.000000      1.000000   \n",
       "50%        2.000000   2015.000000      2.000000     11.000000      1.000000   \n",
       "75%        2.000000   2017.000000      2.000000     18.000000      1.000000   \n",
       "max        3.000000   2021.000000      6.800000     41.000000      5.000000   \n",
       "\n",
       "           newprice             0             1             2             3  \\\n",
       "count  30000.000000  28418.000000  30000.000000  30000.000000  17892.000000   \n",
       "mean      28.839294      1.003519      5.245667      2.031067    215.428683   \n",
       "std       27.022943      0.083819      3.373074      0.424548    196.882864   \n",
       "min        2.680000      1.000000      1.000000      1.000000      1.000000   \n",
       "25%       13.780000      1.000000      2.000000      2.000000     68.000000   \n",
       "50%       21.980000      1.000000      5.000000      2.000000    156.000000   \n",
       "75%       34.970000      1.000000      6.000000      2.000000    310.000000   \n",
       "max      648.800000      3.000000     18.000000     11.000000   1037.000000   \n",
       "\n",
       "                  4             5             7             8             9  \\\n",
       "count  30000.000000  30000.000000  26225.000000  26256.000000  23759.000000   \n",
       "mean      26.313867      2.299467      1.582307      4.418761      2.507934   \n",
       "std       25.557234      1.718687      0.767380      0.614021      0.500200   \n",
       "min        1.000000      1.000000      1.000000      2.000000      1.000000   \n",
       "25%        9.000000      1.000000      1.000000      4.000000      2.000000   \n",
       "50%       19.000000      2.000000      1.000000      4.000000      3.000000   \n",
       "75%       34.000000      2.000000      2.000000      5.000000      3.000000   \n",
       "max      177.000000     15.000000      8.000000      6.000000      3.000000   \n",
       "\n",
       "                 11             12            13          price  \n",
       "count  3.000000e+04   28381.000000  30000.000000   30000.000000  \n",
       "mean   1.318762e+10  201449.680631      1.398133      18.062224  \n",
       "std    1.932043e+09     282.230336      0.496486     629.444049  \n",
       "min    6.436706e+09  200606.000000      1.000000       0.050000  \n",
       "25%    1.198392e+10  201211.000000      1.000000       6.100000  \n",
       "50%    1.294695e+10  201504.000000      1.000000      10.479900  \n",
       "75%    1.415981e+10  201702.000000      2.000000      18.000000  \n",
       "max    3.203787e+10  202105.000000      3.000000  109000.000000  "
      ]
     },
     "metadata": {},
     "execution_count": 9
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "source": [
    "vali1.describe()"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>brand</th>\n",
       "      <th>serial</th>\n",
       "      <th>model</th>\n",
       "      <th>mileage</th>\n",
       "      <th>color</th>\n",
       "      <th>cityid</th>\n",
       "      <th>carcode</th>\n",
       "      <th>transfercount</th>\n",
       "      <th>seating</th>\n",
       "      <th>country</th>\n",
       "      <th>maketype</th>\n",
       "      <th>modelyear</th>\n",
       "      <th>displacement</th>\n",
       "      <th>gearbox</th>\n",
       "      <th>oiltype</th>\n",
       "      <th>newprice</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5000.00000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.00000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>4604.000000</td>\n",
       "      <td>4625.000000</td>\n",
       "      <td>4894.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>4660.000000</td>\n",
       "      <td>5000.00000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>3137.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>4584.000000</td>\n",
       "      <td>4587.000000</td>\n",
       "      <td>3769.000000</td>\n",
       "      <td>4.999000e+03</td>\n",
       "      <td>4740.000000</td>\n",
       "      <td>5000.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>19.58460</td>\n",
       "      <td>234.703800</td>\n",
       "      <td>4621.203600</td>\n",
       "      <td>7.558546</td>\n",
       "      <td>2.805000</td>\n",
       "      <td>6.19740</td>\n",
       "      <td>1.729400</td>\n",
       "      <td>0.443800</td>\n",
       "      <td>5.160600</td>\n",
       "      <td>779413.897046</td>\n",
       "      <td>2.045189</td>\n",
       "      <td>2014.783613</td>\n",
       "      <td>1.951740</td>\n",
       "      <td>10.200800</td>\n",
       "      <td>1.042000</td>\n",
       "      <td>28.971460</td>\n",
       "      <td>1.006867</td>\n",
       "      <td>5.38420</td>\n",
       "      <td>2.017800</td>\n",
       "      <td>214.674530</td>\n",
       "      <td>25.993800</td>\n",
       "      <td>2.285400</td>\n",
       "      <td>1.611693</td>\n",
       "      <td>4.440157</td>\n",
       "      <td>2.490316</td>\n",
       "      <td>1.338296e+10</td>\n",
       "      <td>201477.458650</td>\n",
       "      <td>1.37480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>18.00309</td>\n",
       "      <td>230.626072</td>\n",
       "      <td>4047.940514</td>\n",
       "      <td>4.544546</td>\n",
       "      <td>2.009623</td>\n",
       "      <td>7.62163</td>\n",
       "      <td>0.962684</td>\n",
       "      <td>0.789535</td>\n",
       "      <td>0.722296</td>\n",
       "      <td>2.120793</td>\n",
       "      <td>0.575140</td>\n",
       "      <td>3.380612</td>\n",
       "      <td>0.559396</td>\n",
       "      <td>6.960874</td>\n",
       "      <td>0.219649</td>\n",
       "      <td>24.586602</td>\n",
       "      <td>0.122383</td>\n",
       "      <td>3.43362</td>\n",
       "      <td>0.311613</td>\n",
       "      <td>196.532494</td>\n",
       "      <td>24.695768</td>\n",
       "      <td>1.693316</td>\n",
       "      <td>0.772200</td>\n",
       "      <td>0.614607</td>\n",
       "      <td>0.500503</td>\n",
       "      <td>2.029479e+09</td>\n",
       "      <td>305.495508</td>\n",
       "      <td>0.48987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>779411.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2004.000000</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.680000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.478721e+09</td>\n",
       "      <td>200606.000000</td>\n",
       "      <td>1.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>8.00000</td>\n",
       "      <td>68.750000</td>\n",
       "      <td>844.750000</td>\n",
       "      <td>4.197500</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>779412.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2012.000000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>13.680000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.206065e+10</td>\n",
       "      <td>201211.000000</td>\n",
       "      <td>1.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>13.00000</td>\n",
       "      <td>160.000000</td>\n",
       "      <td>3503.000000</td>\n",
       "      <td>7.030000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>779413.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>22.290000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.00000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>155.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.308619e+10</td>\n",
       "      <td>201506.000000</td>\n",
       "      <td>1.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>23.00000</td>\n",
       "      <td>312.000000</td>\n",
       "      <td>8143.250000</td>\n",
       "      <td>10.132500</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>9.00000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>779415.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2017.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>35.900000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.00000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>304.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.443135e+10</td>\n",
       "      <td>201707.000000</td>\n",
       "      <td>2.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>125.00000</td>\n",
       "      <td>1247.000000</td>\n",
       "      <td>12734.000000</td>\n",
       "      <td>44.510000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>58.00000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>779421.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2022.000000</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>319.800000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>16.00000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1034.000000</td>\n",
       "      <td>169.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.580580e+10</td>\n",
       "      <td>202109.000000</td>\n",
       "      <td>4.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            brand       serial         model      mileage        color  \\\n",
       "count  5000.00000  5000.000000   5000.000000  5000.000000  5000.000000   \n",
       "mean     19.58460   234.703800   4621.203600     7.558546     2.805000   \n",
       "std      18.00309   230.626072   4047.940514     4.544546     2.009623   \n",
       "min       1.00000     1.000000      1.000000     0.010000     1.000000   \n",
       "25%       8.00000    68.750000    844.750000     4.197500     1.000000   \n",
       "50%      13.00000   160.000000   3503.000000     7.030000     2.000000   \n",
       "75%      23.00000   312.000000   8143.250000    10.132500     5.000000   \n",
       "max     125.00000  1247.000000  12734.000000    44.510000    10.000000   \n",
       "\n",
       "           cityid      carcode  transfercount      seating        country  \\\n",
       "count  5000.00000  5000.000000    5000.000000  5000.000000    4604.000000   \n",
       "mean      6.19740     1.729400       0.443800     5.160600  779413.897046   \n",
       "std       7.62163     0.962684       0.789535     0.722296       2.120793   \n",
       "min       1.00000     1.000000       0.000000     2.000000  779411.000000   \n",
       "25%       1.00000     1.000000       0.000000     5.000000  779412.000000   \n",
       "50%       2.00000     1.000000       0.000000     5.000000  779413.000000   \n",
       "75%       9.00000     2.000000       1.000000     5.000000  779415.000000   \n",
       "max      58.00000     6.000000       8.000000     9.000000  779421.000000   \n",
       "\n",
       "          maketype    modelyear  displacement      gearbox      oiltype  \\\n",
       "count  4625.000000  4894.000000   5000.000000  5000.000000  5000.000000   \n",
       "mean      2.045189  2014.783613      1.951740    10.200800     1.042000   \n",
       "std       0.575140     3.380612      0.559396     6.960874     0.219649   \n",
       "min       1.000000  2004.000000      0.900000     1.000000     1.000000   \n",
       "25%       2.000000  2012.000000      1.600000     3.000000     1.000000   \n",
       "50%       2.000000  2015.000000      2.000000     9.000000     1.000000   \n",
       "75%       2.000000  2017.000000      2.000000    16.000000     1.000000   \n",
       "max       3.000000  2022.000000      6.200000    39.000000     5.000000   \n",
       "\n",
       "          newprice            0           1            2            3  \\\n",
       "count  5000.000000  4660.000000  5000.00000  5000.000000  3137.000000   \n",
       "mean     28.971460     1.006867     5.38420     2.017800   214.674530   \n",
       "std      24.586602     0.122383     3.43362     0.311613   196.532494   \n",
       "min       3.680000     1.000000     1.00000     1.000000     1.000000   \n",
       "25%      13.680000     1.000000     2.00000     2.000000    68.000000   \n",
       "50%      22.290000     1.000000     5.00000     2.000000   155.000000   \n",
       "75%      35.900000     1.000000     6.00000     2.000000   304.000000   \n",
       "max     319.800000     4.000000    16.00000     9.000000  1034.000000   \n",
       "\n",
       "                 4            5            7            8            9  \\\n",
       "count  5000.000000  5000.000000  4584.000000  4587.000000  3769.000000   \n",
       "mean     25.993800     2.285400     1.611693     4.440157     2.490316   \n",
       "std      24.695768     1.693316     0.772200     0.614607     0.500503   \n",
       "min       1.000000     1.000000     1.000000     2.000000     1.000000   \n",
       "25%       9.000000     1.000000     1.000000     4.000000     2.000000   \n",
       "50%      19.000000     2.000000     2.000000     4.000000     2.000000   \n",
       "75%      34.000000     2.000000     2.000000     5.000000     3.000000   \n",
       "max     169.000000    13.000000     8.000000     5.000000     3.000000   \n",
       "\n",
       "                 11             12          13  \n",
       "count  4.999000e+03    4740.000000  5000.00000  \n",
       "mean   1.338296e+10  201477.458650     1.37480  \n",
       "std    2.029479e+09     305.495508     0.48987  \n",
       "min    6.478721e+09  200606.000000     1.00000  \n",
       "25%    1.206065e+10  201211.000000     1.00000  \n",
       "50%    1.308619e+10  201506.000000     1.00000  \n",
       "75%    1.443135e+10  201707.000000     2.00000  \n",
       "max    2.580580e+10  202109.000000     4.00000  "
      ]
     },
     "metadata": {},
     "execution_count": 10
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "source": [
    "\n",
    "data1[cont_features].hist(bins=50,figsize=(16,12))"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'brand'}>,\n",
       "        <AxesSubplot:title={'center':'serial'}>,\n",
       "        <AxesSubplot:title={'center':'model'}>,\n",
       "        <AxesSubplot:title={'center':'mileage'}>,\n",
       "        <AxesSubplot:title={'center':'color'}>],\n",
       "       [<AxesSubplot:title={'center':'cityid'}>,\n",
       "        <AxesSubplot:title={'center':'carcode'}>,\n",
       "        <AxesSubplot:title={'center':'transfercount'}>,\n",
       "        <AxesSubplot:title={'center':'seating'}>,\n",
       "        <AxesSubplot:title={'center':'country'}>],\n",
       "       [<AxesSubplot:title={'center':'maketype'}>,\n",
       "        <AxesSubplot:title={'center':'modelyear'}>,\n",
       "        <AxesSubplot:title={'center':'displacement'}>,\n",
       "        <AxesSubplot:title={'center':'gearbox'}>,\n",
       "        <AxesSubplot:title={'center':'oiltype'}>],\n",
       "       [<AxesSubplot:title={'center':'newprice'}>,\n",
       "        <AxesSubplot:title={'center':'0'}>,\n",
       "        <AxesSubplot:title={'center':'1'}>,\n",
       "        <AxesSubplot:title={'center':'2'}>,\n",
       "        <AxesSubplot:title={'center':'3'}>],\n",
       "       [<AxesSubplot:title={'center':'4'}>,\n",
       "        <AxesSubplot:title={'center':'5'}>,\n",
       "        <AxesSubplot:title={'center':'7'}>,\n",
       "        <AxesSubplot:title={'center':'8'}>,\n",
       "        <AxesSubplot:title={'center':'9'}>],\n",
       "       [<AxesSubplot:title={'center':'11'}>,\n",
       "        <AxesSubplot:title={'center':'12'}>,\n",
       "        <AxesSubplot:title={'center':'13'}>,\n",
       "        <AxesSubplot:title={'center':'price'}>, <AxesSubplot:>]],\n",
       "      dtype=object)"
      ]
     },
     "metadata": {},
     "execution_count": 11
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x864 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "source": [
    "\n",
    "vali1[cont_features2].hist(bins=50,figsize=(16,12))"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'brand'}>,\n",
       "        <AxesSubplot:title={'center':'serial'}>,\n",
       "        <AxesSubplot:title={'center':'model'}>,\n",
       "        <AxesSubplot:title={'center':'mileage'}>,\n",
       "        <AxesSubplot:title={'center':'color'}>],\n",
       "       [<AxesSubplot:title={'center':'cityid'}>,\n",
       "        <AxesSubplot:title={'center':'carcode'}>,\n",
       "        <AxesSubplot:title={'center':'transfercount'}>,\n",
       "        <AxesSubplot:title={'center':'seating'}>,\n",
       "        <AxesSubplot:title={'center':'country'}>],\n",
       "       [<AxesSubplot:title={'center':'maketype'}>,\n",
       "        <AxesSubplot:title={'center':'modelyear'}>,\n",
       "        <AxesSubplot:title={'center':'displacement'}>,\n",
       "        <AxesSubplot:title={'center':'gearbox'}>,\n",
       "        <AxesSubplot:title={'center':'oiltype'}>],\n",
       "       [<AxesSubplot:title={'center':'newprice'}>,\n",
       "        <AxesSubplot:title={'center':'0'}>,\n",
       "        <AxesSubplot:title={'center':'1'}>,\n",
       "        <AxesSubplot:title={'center':'2'}>,\n",
       "        <AxesSubplot:title={'center':'3'}>],\n",
       "       [<AxesSubplot:title={'center':'4'}>,\n",
       "        <AxesSubplot:title={'center':'5'}>,\n",
       "        <AxesSubplot:title={'center':'7'}>,\n",
       "        <AxesSubplot:title={'center':'8'}>,\n",
       "        <AxesSubplot:title={'center':'9'}>],\n",
       "       [<AxesSubplot:title={'center':'11'}>,\n",
       "        <AxesSubplot:title={'center':'12'}>,\n",
       "        <AxesSubplot:title={'center':'13'}>, <AxesSubplot:>,\n",
       "        <AxesSubplot:>]], dtype=object)"
      ]
     },
     "metadata": {},
     "execution_count": 12
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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iFWs3lO03eecGF6f96i1Tt+q15TGzzvPjc8zMzPrbhBuvkrYB3gaclYsuBD4MRP57HvCXjc4vIi4CLgKYNm1aDA0NbTbN8PAwtcpnFg9sThyqW1ZG9ZapW/Xa8piZmZmZWWc1o9vwUcDdEfEEQEQ8EREvRMRvgC+wsWvwCmBq4XNTcpmZmZmZmZnZiJrReD2BQpdhSbsXxv0pcH9+vwA4XtK2kvYC9gbuaML3m5lZnxmcc/0m3YjNzMys902o27CkHYA3AX9TKP53SfuTug0vrYyLiAckXQU8CKwHTnWmYTMzMzMzM2vEhBqvEfEc8JKqspNGmP4jwEcm8p1mZmZmZmbWf5r1qBwzMzMzMzOzlmnWo3LMrET8SBEzs+7l+7nNzGrzlVczMzMzMzMrPV95NWuQpC2Bu4AVEfGWnDV7Pum+70XASRHxa0nbApcBrwOeAt4ZEUs7VG0zM+sSrbjiWpmne+GYWS/wlVezxp0OPFQY/hhwfkS8AlgDnJLLTwHW5PLz83RmZmZmZjYBbryaNUDSFOAY4It5WMBhwNV5knnAsfn99DxMHn94nt7MzMzMzMbJ3YbNGvNJ4P3ATnn4JcDTEbE+Dy8HJuf3k4FlABGxXtLaPP2T1TOVNAuYBTAwMMDw8PBmXzywPczeL31NrfG1VKYfy2faZd26daWr00T14jKZmZmZlY0br2ajkPQWYFVELJI01Mx5R8RFwEUA06ZNi6GhzWf/6cuv5bzFaVNdemJjXz+zmG24wc+0y/DwMLWWs5v14jKZmZmZlU3fNl6dwMDG4FDgbZKOBrYDXgxcAEyStFW++joFWJGnXwFMBZZL2grYmZS4yczMzMzMxqlvG69mjYqIs4CzAPKV1/dFxImSvgq8nZRxeAZwbf7Igjz8/Tz+uxERzahLrUyUPgFjZmZmZv3AjVez8TsTmC/pXOAe4OJcfjHwJUlLgNXA8R2qn5mZGbDpyU+f9DSzbuXGq9kYRMQwMJzfPwocVGOaXwLvaGvFzMzMzMx6nB+VY2ZmZmZmZqXnK69mXc5dwczMzMysH0zoyqukpZIWS7pX0l25bFdJCyU9kv/ukssl6VOSlki6T9KBzVgAMzMzMzMz633N6Db8hojYPyKm5eE5wE0RsTdwUx4GOArYO79mARc24bvNbBSDc66vmaXYzMzMzKybtOKe1+nAvPx+HnBsofyySG4jPSNz9xZ8v5mZmZmZmfWYid7zGsC3JQXw+Yi4CBiIiJV5/OPAQH4/GVhW+OzyXLayUIakWaQrswwMDDA8PLzZl65bt65m+ez91m94Xxlfq6xYXms+nVBvmbpVry2PmZlZr3CuBCu7Sow6Pq3aRBuvr4+IFZJeBiyU9MPiyIiI3LBtWG4AXwQwbdq0GBoa2mya4eFhapXPLO6MTxyqW1YsL5Z1Ur1l6la9tjxmZmZmZSbpEuAtwKqIeHUu2xW4EhgElgLHRcQaSQIuAI4GngdmRsTd+TMzgA/m2Z4bEfMwK4kJdRuOiBX57yrgGtIzL5+odAfOf1flyVcAUwsfn5LLzMysJCRNlXSzpAclPSDp9FzuZHxmLVDJS+DcBNYElwJHVpWNKRdNbuyeDRxMOq4/u7K/NyuDcTdeJe0gaafKe+AI4H5gATAjTzYDuDa/XwCcnA90DgHWFroXj5l39GZmLbEemB0R+wKHAKdK2hcn47Me4xM11msi4hZgdVXxWHPRvBlYGBGrI2INsJDNG8RmHTORK68DwK2SfgDcAVwfEd8C5gJvkvQI8MY8DHAD8CiwBPgC8N4JfLeZmbVARKysdB2LiGeBh0j5CZyMz3qNT9RYPxhrLpp65WalMO57XiPiUeC1NcqfAg6vUR7AqeP9PjMbnXsjWDNJGgQOAG6nDcn4BrbfNMleI8qcGK6XEtf10rJU5Hhemd8/K6l4omYoTzYPGAbOpHCiBrhN0iRJu0+kF5lZO40nF81IGtmvw/iSpI72mTLuk8pWp7LVB5pTp4kmbDIzsx4kaUfga8AZEfFMyu2RtCoZ36cvv5bzFo/tZ6ksSfdq6aXEdb20LLU080SNWck8UTnJ0mAumhVsPHlTKR+uNeNG9uswviSpo32mjPukstWpbPWB5tTJjVczM9uEpK1JDdfLI+LruXisB0BmXaHZJ2rG+si/sfY2aLZWX5kp49WfVinpslZy0cxl81w0p0maT0rOtDbv328EPlpI0nQEcFab62xWlxuvZma2QX58wsXAQxHxicKoMR0AtbHKZuPWihM1Y33k38wO3+7R6t4LZbz60yqdXlZJV5Cumu4maTkpa/Bc4CpJpwCPAcflyW8gPSZnCelROe8GiIjVkj4M3Jmn+1BEVCeBMusYN17NzKzoUOAkYLGke3PZBxjjAZBZ2flEjfWaiDihzqgx5aKJiEuAS5pYNbOm6fvGazHBzdK5x3SwJmZmnRcRtwKqM9rJ+KyX+EQNG4+DfAxkZt2g7xuvZmZm1n98osbMrPu48WrWh9zjwHqFY9nMzKx/uPFqZmZm1ud8IsjMusEWna6AmZmZmZmZ2WjceDUbhaSpkm6W9KCkBySdnst3lbRQ0iP57y65XJI+JWmJpPskHdjZJTAzMzMz635d33gdnHP9hpdZi6wHZkfEvsAhwKmS9gXmADdFxN7ATXkY4Chg7/yaBVzY/iqbmZmZWTsMzrmexSvWuj3SBr7n1WwU+Tl+K/P7ZyU9BEwGppMeBg4wDxgGzszll+XMlLdJmlR54H27617kHaqZmZmZdTM3Xs3GQNIgcABwOzBQaJA+Dgzk95OBZYWPLc9lmzVeJc0iXZ1lYGCA4eHhzb5zYHuYvd/65ixADbW+s5XWrVvX9u9stV5cJjMzM7OycePVrEGSdgS+BpwREc9IGx8PGBEhKcY6z4i4CLgIYNq0aTE0NLTZNJ++/FrOW9y6TXXpiZt/ZysNDw9Tazm7WS8uk5m1zuIVa5np3jBmZmPW9fe8mrWDpK1JDdfLI+LrufgJSbvn8bsDq3L5CmBq4eNTcpmZmZmZmY3TuBuvI2RgPUfSCkn35tfRhc+clTOwPizpzc1YALNWU7rEejHwUER8ojBqATAjv58BXFsoPzlnHT4EWNvp+13HyknQzMzMzKxsJtIXsZKB9W5JOwGLJC3M486PiI8XJ87ZWY8HXgXsAXxH0isj4oUJ1MGsHQ4FTgIWS7o3l30AmAtcJekU4DHguDzuBuBoYAnwPPDuttbWzMzMzKwHjbvxOkIG1nqmA/Mj4lfATyQtAQ4Cvj/eOpi1Q0TcCqjO6MNrTB/AqS2tVBNVrrAunXtMh2tiZmZmZlZfU7LAVGVgPRQ4TdLJwF2kq7NrSA3b2wofq2RgrZ7XqNlX161bx+z9Rr5gW/lcMUtrcV61srd2Mltor2Ur7bXlMTMz6xc+qWlmZTXhxmuNDKwXAh8GIv89D/jLRufXSPbV4eFhzrv1uRHnU8mgWszmV8yqWivLX7uzrhb1WrbSXlseMzMzMzPrrAk1XmtlYI2IJwrjvwBclwedgdWsxGolaCqW+Qy8mVl/8W+AmZXNRLIN18zAWnl0SPanwP35/QLgeEnbStoL2Bu4Y7zfb2ZmZmZmZv1jIlde62VgPUHS/qRuw0uBvwGIiAckXQU8SMpUfKozDZuZmY3OV8DMzMwmlm24XgbWG0b4zEeAj4z3OzvBBwxmZtaN/PtlZma9pinZhnuFs+uZmVm/aFbj1o1kM7Ox875zfNx4NTOznjCeA4Fan5noAUXl87P3W8/QGL97vMp28tUHZWZm1gpuvJqZWc9pd2OuVrbuic6rXt3L1lAtanQ91GvclnnZzMys89x4NbNx89UVK7syXt0cTwNvovMeT91rfWaijfRmNvKtvby/t17nk2fdwY1XMzPrC6M1nEZ71nGtsvF0Tx7P+GZ9ZjzzHJxzPbP3W8/McX6fG6xmZtYsbryOg88+mplZI9xwG53XUffxFSorMx+n9zY3Xs2sIWM5wBypu+GlR+7Q3IqZdVC3NbxG61ZsZmZWZm68tonPApmZmZmZmY2fG69m1hSN3i+4eMXaDffO+USOmZmZmTWqZxuv7gJl1p3cS8HMzMzMaunZxmsrNKtB3IqDcx/wW7fzCSczs+7iYw8zazc3XmtoxcPmx/MZ/xBYr5toEigzMzMz6x991Xht9ZUdH1ybNVcrt1lfMTAza55a+2vvW82s2fqq8Wpm3a9Wo9MNUTMzM7Pe1/bGq6QjgQuALYEvRsTcdtfBrB0c6603kW75o413I7hxjnXrF4516yeO93Lr1xP3bW28StoS+CzwJmA5cKekBRHxYDvrUSaVwJu93/oNjw+pHge1g9IJbsrLsd45zWrQ1ptPP/1ANMKxbv3CsT52g3Ou3+z4prgPdU+a8nK896Ze2L7afeX1IGBJRDwKIGk+MB3o2g2hXQ3I8SS2qWW0H43R5tmtgd4BPRfrltTavioHZ/W2r1p6aFtyrFu/cKw3wURPMPbQvrPsHO+2mTK0BxQR7fsy6e3AkRHxV3n4JODgiDitMM0sYFYe3Ad4uMasdgOebHF1263XlqkMy7NnRLy0E1/cSKzn8n6M915bHijHMnUk3h3rI+ql5SnTsjjWu4uXdfxKfRzTYKy3Shnjqmx1Klt9oH6dGo710iVsioiLgItGmkbSXRExrU1VaoteW6ZeW55W6cd477Xlgd5cpmZzrHe3XlqWVuvHWB+Jl7V3NRLrrVLGdV22OpWtPtCcOm3RrMo0aAUwtTA8JZeZ9RrHuvULx7r1C8e69RPHu5VSuxuvdwJ7S9pL0jbA8cCCNtfBrB0c69YvHOvWLxzr1k8c71ZKbe02HBHrJZ0G3EhKu31JRDwwjll1pItCi/XaMvXa8oxJE2Mdem9d9tryQG8uU0Mc6yPqpeXppWUZF8f6uHlZu1CT470Vyriuy1anstUHmlCntiZsMjMzMzMzMxuPdncbNjMzMzMzMxszN17NzMzMzMys9Lqq8SrpSEkPS1oiaU6n6zNekpZKWizpXkl35bJdJS2U9Ej+u0un6zkSSZdIWiXp/kJZzWVQ8qn8f7tP0oGdq3n36OZ4H0uMlzU+mhXjkmbk6R+RNKMTy9INuiXemxXbnYqLVse1pNfl9bMkf1btWrZu0S2xPh6Spkq6WdKDkh6QdHou76pjnEZJ2lLSPZKuy8N7Sbo9/2+vVEp0ZONUL56qphmStDbvk++V9C9tqNdmvwNV49t2XCNpn8Ky3yvpGUlnVE3T8nU0lt+WGp8d2+9hRHTFi3Sz+I+B3wa2AX4A7Nvpeo1zWZYCu1WV/TswJ7+fA3ys0/UcZRn+GDgQuH+0ZQCOBr4JCDgEuL3T9S/7q9vjfSwxXtb4aEaMA7sCj+a/u+T3u3R62cr26qZ4b0ZsdzIuWh3XwB15WuXPHtXp/1mZXt0U6+Ncvt2BA/P7nYAfAfvWi7FufwH/CHwFuC4PXwUcn99/DvjbTtexm1/14qlqmqHK+m9jvTb7Haga35Hjmrx/eRzYs93raCy/LVWfG/PvYTddeT0IWBIRj0bEr4H5wPQO16mZpgPz8vt5wLGdq8roIuIWYHVVcb1lmA5cFsltwCRJu7elot2rF+O9q+KjSTH+ZmBhRKyOiDXAQuDIlle++3R7vHdNXLQyrvO4F0fEbZGOSi6j5L9lHdDtsT6iiFgZEXfn988CDwGT6bJjnEZImgIcA3wxDws4DLg6T9ITy9lJI8RT2XXquOZw4McR8VgbvmsTY/xtKRrz72E3NV4nA8sKw8vpjgCuJYBvS1okaVYuG4iIlfn948AUSd8ez8wlvVzSOklb1hl/jqQvj2feo6hehoH8vpf+d+3S7euskRhvaXxIGpQUkpr5SLCxLkO3/x/bpZvW00Ri+2fAlcAlwKGF8k4vb7PienJ+X11uG3VTrE+IpEHgAOB26sdY9WcekDTUjvo1wSeB9wO/ycMvAZ6OiPV5uGf/t51QFU/V/kDSDyR9U9Kr2lCdWr8DRZ3azo8Hrqgzrt3rCBrb7se8rtr6nFfb4PURsULSy4CFkn5YHBkRIenXEXFEpUxSAHtHxJLRZh4RPwV2bHqtxyAvg5/D1L8aifGujo9eWIZ+JWkp8FcR8Z1xfHwisf0y0kHP2aQuo6VTo/4HSJofEVM6VinrOpJ2BL4GnBERzxRvfa7EmKRLgeUR8cHCuHYdVE+IpLcAqyJiURc1trtWdTxVjb6b1E12naSjgW8Ae7e4Spv9DuQrj+Mywd+kyjy2Ad4GnFVjdCfW0SaaeczUTVdeVwBTC8NTclnXiYgV+e8q4BpSN6InKl0K8t9VnavhuNVbhp7537VRV6+zMcb4hmXNV0nLvKxjjfGu/j+2UWnW02hX6scb29nLgB+SzjKPaXmb3IOg2kj1f2lhutHiekV+X11uG5Um1ltF0takhsblEfH1XNwLxzhFhwJvy42O+aTuwheQuodWttWe+992Qp142iAinomIdfn9DcDWknZrZZ3q/A4UNXU7b3D/fxRwd0Q8UT2iE+soa2S7H/u6qnczbNlepKvEjwJ7sTHJwas6Xa9xLMcOwE6F998D3kW6CX0d8FQuuwG4NU93C+ls/XN5mncC9wNvLcx3a+BJUpeKwTz9VnncXsB/A8+S+pJ/BvhyE5ZlkE1vzP7/2PTG7H/P749h0xvX7+j0/6Hsr26N97wDujbH4lOkhBWLgHuBX+QYvhw4pxAfT5AO6O8Dfk1K+PL6vB08TTrQn5mn3Zl0H93PgceADwJb5HFbAh/P3/0ocGrVdrAzcDGwkrRjPBfYspUxTkpA8BNSEoJd8vtdO/1/KturnfEOfInUze8XeX/6/hwnpwA/BW7J032V1M1pLWkf/Cry/hu4FPg8sAZ4ntQduBILc4A7ST/Sz5P2u68m3Rf3G+D/8vf+PMfEaTnunwZupJBoI9frVOAR4Ce5bHrenp4hJf45MpfvASwg3XO0BPjrwnwuBc4tDB8P/F9heC1wPWkb/CXpvrLtgD8DXsj1fj6/32OkuGbzhE1Hdzq+yvRqZ6y3oO5nkvadzwIPk+6v2yLH/I9J+/yrSI25T1ZtR7/KcfKqPP2NeVv4dd4e/itPvxR4Y35/Tp7fZfk7HwCmFepzIHBPHvdVUpf8c9u5TnI9htiYsOmrbJqw6b2d/r918yvvRy6rxFOdaX4LUH5/EGk/rgl+71Tg66T99FOk4+YtSMccP83ll5ESSn2P9DuyvPD5Y/I+8415f7iiXixT+zdpkKrfJdI++u+q6nkf8Kf5/Xzg3e1aR3W+Z5AGjpmqPjPm46SOB+YYV8rRpEbej4F/7nR9xrkMv036sfpBDt4P5vcXAjeTDjruJB2w3Fr4XACvKAy/H7iyMDwdWFwInuJB+/eBTwDbkrKBPcsEG6+kPvUrST8+y/MG9hLgJtKB1nfYeDAj4LP5/7aYwo+PXyOu466Kd1Lj8Qek+/kW553qT4DzgDeRdvK35B30TwvxsZT0Q7CUdFLmLTlGTyCdlHkJsH+e9jJS43inHOc/Ak7J495DagRPzTvDm6u2g2tIDY4dSFfA7gD+ptUxDvxl3q6XUOeHxa/2xjubHiBX9peX5djYvvB/2ynvNz9JajBW9t+rgfWk/fZWbDxAf4TUPeteYFKOi6/k71sMXETe9+b5ryQdvH8gz+eDwPcK9QzSCcddge1JBx1r8/a0Bem+oN/N094C/Aep0bl/3qYOy+MuJR/U57h+Ks+7Etc/zfN9FBgmNUzek+t/TV7WhuIamEbajn9MOuBr+gFSt7/aGetNrPM+pBOJexS2m98BTgduI10t2Za0fw7S/v/eHFt/Ttr//5TUiP1OjukNcVln2zyHdDLlaNLvy78Bt+Vx25BOYJ5O+p34s7wtdbrx+tuk35YlpP3Ctp3+33Xzi3QiuxhP9+Z4eA/wnjzNaaTj6R/kWPzDCX5n5VjmfNJvwna5HpV93p/k/eHT+fXPOQbWFOok0gnGn7Fx318zlvP0G+I+Dw9S9bsEHEchazHwWtK+fJs8zVPAzoXxLVtHddbbWI6ZpgFfLHx2TMdJHQ/Mfn8Bf0A6yNiqqnwmIzde9yAd4L84D18NvD+/rwT9VsDLSQceOxQ++xWacOXVL7+Kr3qxXGO6Y4F7CsNLgb8sDJ8FXFPjc1uSDk72LZT9DTCc33+3sqPOw0cUtoMB0kHT9oXxJwA3d3q9+dX+F7Ubr789wvST8jQ75+FLq354jwZ+mN8fRmqYHELuFVCY7pzivpd0ZfKUwvAWpLP1e+bhIDdA8/DngfNr1G8q6aroToWyfwMuLdS3eOV1iE2vEiwF3lUY/nfgc7Wm9as/X8ArSL0J3ghsXSh/CDi8MLw76eB1s9+BOtvRaI3X7xTG7Qv8Ir//Y9LVLBXG31o9P7/8GuuL+sflN1G4kk46ofN/+Rhjs/1ko7FcPW0eHqTqd4nUiF5Dyn8DqafZf3R6fXXi1U33vPaqqcBjsTE7XUMi4mfA/wJ/LmkSqa/75TUm3QNYExHPFcrankLb+kLNWJY0IGm+pBWSngG+DFTfa1HMNDeVdEWi2m6kM+zF+H2MjVnp9qiaT3G6PfNnV0p6WtLTpIbAyxpZMOsLG2JH0paS5kr6cY7ZpXlUMW4fL7x/npwkLyK+S7ri+FlglaSLJL24znfuCVxQiMnVpDP2xUyLjWwbewCrIz1KoqK4bTSi5vKYAURKFnkG6SB8Vd6n70GK4WsKMfwQ6UTKQIPb0Wiq43K7fP/fHsCKyEfx2TLMJq7ecfkebH78UTk53oh6sTySDTEdEb8kdY1/l6QtSCfgv9Tgd/cUN147bxnw8nEm45hHul/2HcD3I99AXmUlsIukHQplLx/Hd5mNpl4sf5R0BnG/iHgxKWZVNU31Acjv1Jj/k6SznHsWyl7Oxhv7V7LpTf/FOF9GuvK6W0RMyq8XR5dktrSmi1HK/oJ0K8YbSfdKD+by6ritPfOIT0XE60hn118J/FOdSZeRuq5PKry2j4jv1alXvW3jZ8CuknYqlBW3jeeAFxXG/VYjy1Hj+62PRcRXIuL1pH1wAB8jxeRRVTG8XT4eGW07mkhsrQQmq5jGeNP9v9l41TuW+RmbH3+sJ+Xt2GQfmx9V+VIaV29bqC6fB5xIut/8+Yj4/hi+o2e48dp5d5B2wnMl7SBpO0mH1pjuCdK9FEXfICUsOJ3UL34zkR5UfBfwr5K2kfR64K3NqrxZQb1Y3omUhGCtpMnUP5CvuBx4o6TjJG0l6SWS9o+IF0gJDz4iaSdJewL/SLqSSx7395KmSNqFlBwASA86B74NnCfpxZK2kPQ7kv6kictv3aPW/rRoJ9LJjqdIByQfbXTGkn5f0sE5Q+ZzpPucflNn8s8BZ1WeuSdpZ0nvGGH2FwPvlnR4juHJkn43IpaRkob8W97uXkO636iybdwLHC1pV0m/RbqC1qgngJdI2nkMn7EeI2kfSYdJ2pYU078gxfXnSPvkPfN0L5U0PX9stO1otO1wJN8nXeE9Lf9OTGfzjK9m41HvWOYK4B8k7ZUf3fNRUu6Z9aRbRbaTdEze93+QdA94oxraFnJj9TekXCJ9edUV3HjtuHxA/lbS/SQ/Jd3k/M4ak54DzMtdc47Ln/0FKX34XqSsaPX8BXAwqUva2dRp6JpNxAix/K+kkyyVjKYjxSqRnlN8NDCbFLP3khITAPwdqUHwKOn+pq+QEkQBfIGUwfIHpKQ51d9zMimxwYOk+0auJt2fZf3n34AP5m6Ob68x/jJSl7AVpHi5bQzzfjEpFtfkeTxFyri4mYi4hnT1an7uVnk/6RaQmiLiDuDdpEQia0lZ5CtXAk4gXdn6GSnJ0tmx8ZmBXyJtF0tJJ3GubHRhIuKHpIO2R/Pvzx6NftZ6yrbAXFIPmMdJt1ycRXo8zALg25KeJW0rB+fPjLYdXQzsm+PqG2OpTET8mpSk6RRS0px3AdeRGstm4zbCscwlpH3pLaRklL8kHZMQEWuB95Kyyq8gHacsH8PXbvhNkvS+Uaa9DNiPjScn+04lbbJ1KUn/ArwyIt7V6bqYmZmZdYKk20mJxv6z03UxaxVJJwOzchf+vuQrr11M0q6ks44XdbouZmZmZu0i6U8k/VbuNjwDeA3wrU7Xy6xVJL2IdIW3r4/73XjtUpL+mnRT+Tcj4pZO18fMzMysjfYhdYd/mnSbydtzfgOzniPpzaRH+DxBumWqb7nbsJmZmZmZmZWer7yamZmZmZlZ6bnxamZmZmZmZqVX/QDeUtltt91icHBwk7LnnnuOHXbYoTMVmoBurHc31hk21nvRokVPRsRYHhLdUbXivZ269f89kl5bppGWp5vivV6sd8P/y3VsjonU0bHeOmWsVxnrBO2pVy/Eei8qa0y2U7PXwZhiPSJK+3rd614X1W6++ebNyrpBN9a7G+scsbHewF1Rgjhu9FUr3tupW//fI+m1ZRppebop3uvFejf8v1zH5phIHR3rrVPGepWxThHtqVcvxHovKmtMtlOz18FYYt3dhs3MzMzMzKz03Hg1MzMzMzOz0iv1Pa8jGZxzPQBL5x7T4ZqYtVYl1sHxbr1t8Yq1zPS+3ayr+TfLmsHH+VaPr7yamZlZT5O0paR7JF2Xh/eSdLukJZKulLRNLt82Dy/J4wcL8zgrlz8s6c0dWhQzs77mxquZmZn1utOBhwrDHwPOj4hXAGuAU3L5KcCaXH5+ng5J+wLHA68CjgT+Q9KWbaq7mZllbryamZlZz5I0BTgG+GIeFnAYcHWeZB5wbH4/PQ+Txx+ep58OzI+IX0XET4AlwEFtWQAzM9vAjVczMzPrZZ8E3g/8Jg+/BHg6Itbn4eXA5Px+MrAMII9fm6ffUF7jM2Zm1iZdm7DJzMzGR9J2wC3AtqTfgasj4mxJewHzSQfri4CTIuLXkrYFLgNeBzwFvDMiluZ5nUXqavkC8PcRcWO7l8esHklvAVZFxCJJQ236zlnALICBgQGGh4c3m2bdunU1yzutGfWavd/6De+bsYy9vK7MbOzceDUz6z+/Ag6LiHWStgZulfRN4B9J9wHOl/Q5UqP0Qgr3AUo6nnQf4Dur7gPcA/iOpFdGxAudWCizGg4F3ibpaGA74MXABcAkSVvlq6tTgBV5+hXAVGC5pK2AnUknbCrlFcXPbCIiLgIuApg2bVoMDQ1tNs3w8DC1yjutGfWaWcw2fOLE5gW9va6aTdIlQOWEzatz2TnAXwM/z5N9ICJuyONqnnyUdCRpO9kS+GJEzG3ncpiNxN2Gzcz6TCTr8uDW+RX4PkDrMRFxVkRMiYhB0omW70bEicDNwNvzZDOAa/P7BXmYPP67ERG5/PicjXgvYG/gjjYthlmjLiUlFKt2fkTsn1+VhmvNJGQ5EdlngaOAfYET8rRmpeArr2ZmfSgfoCwCXkE6UPkxDd4HKKl4H+BthdnWvQ+wka6UA9tv7HJY1u543dBV0HVsyJnAfEnnAvcAF+fyi4EvSVoCrCYd3BMRD0i6CngQWA+c6h4GVjYRcUvx8U6j2HDyEfhJjvnKycclEfEogKT5edoHm11fs/Fw49XMrA/lA+/9JU0CrgF+t8XfN2pXyk9ffi3nLU4/S83obtgKZewqWM11rC0ihoHh/P5RavQSiIhfAu+o8/mPAB9pXQ3NWuY0SScDdwGzI2INI598rE5OdnCtmTZyUnK8ynwiswQn3zquk+vAjVczsz4WEU9Luhn4A1p4H6CZmXXEhcCHSbeGfBg4D/jLZsy4kZOS41W5d7qMJzK74QRhq3VyHfieVzOzPiPppfmKK5K2B94EPITvAzQz6ykR8UREvBARvwG+wMYeB/VOPvqkpJWar7yamfWf3YF5+b7XLYCrIuI6SQ/i+wDNzHqGpN0jYmUe/FPg/vx+AfAVSZ8gZYuvnHwUsHc+IbmCtL//i/bW2qw+N17NzPpMRNwHHFCj3PcBmpl1KUlXAEPAbpKWA2cDQ5L2J3UbXgr8DYx88lHSacCNpEflXBIRD7R3Sczqc+PVzMzMzKzLRcQJNYovrlFWmb7mycf8OJ0bmlg1s6bxPa9mZmZmZmZWeqM2XiVNlXSzpAclPSDp9Fy+q6SFkh7Jf3fJ5ZL0KUlLJN0n6cDCvGbk6R+RNKPed5p1gmPdzMzMzKy8Grnyup70TKh9gUOAUyXtC8wBboqIvYGb8jDAUaSbvvcmPfvpQkgNAFLf+4NJ91SdXWkEmJWEY93MzMzMrKRGbbxGxMqIuDu/f5b0OIXJwHRgXp5sHnBsfj8duCyS20jPDdwdeDOwMCJW54cjLwSObObCmE2EY93MzMzMrLzGlLBJ0iApQ+XtwEAh9fbjwEB+PxlYVvjY8lxWr7z6O2aRrmIxMDDA8PDwJuPXrVvH8PAws/dbD7DZ+LKq1LubdGOdoTn1bkes5+8ZMd6BDbEOrY33bv1/j6TXlqnXlsfMzMxsLBpuvEraEfgacEZEPCNpw7iICEnRjApFxEXARQDTpk2LoaGhTcYPDw8zNDTEzDnXA7D0xCG6QaXe3aQb6wwTr3e7Yj3Pb8R4BzbEOrQ23rv1/z2SXlumXlseMzMzs7FoKNuwpK1JB/OXR8TXc/ETuYsk+e+qXL4CmFr4+JRcVq/crDQc62ZmZmZm5dRItmGRnhH1UER8ojBqAVDJojoDuLZQfnLOxHoIsDZ3ubwROELSLjl5zRG5zKwUHOtmZmZmZuXVSLfhQ4GTgMWS7s1lHwDmAldJOgV4DDguj7sBOBpYAjwPvBsgIlZL+jBwZ57uQxGxuhkLYdYkjnUzMzMzs5IatfEaEbcCqjP68BrTB3BqnXldAlwylgqatYtj3czMzMysvBq659XMzMzMzMysk9x4NTMzMzMzs9Jz49XMzMzMzMxKz41XMwNg8Yq1DM65nsHCc2XNzMzMzMrCjVczMzMzMzMrPTdezcz6jKSpkm6W9KCkBySdnst3lbRQ0iP57y65XJI+JWmJpPskHViY14w8/SOSZtT7TjMzay1Jl0haJen+Qpn369ZT3Hg1M+s/64HZEbEvcAhwqqR9gTnATRGxN3BTHgY4Ctg7v2YBF0I6KALOBg4GDgLOrhwYmZlZ210KHFlV5v269RQ3Xs3M+kxErIyIu/P7Z4GHgMnAdGBenmwecGx+Px24LJLbgEmSdgfeDCyMiNURsQZYyOYHTmZm1gYRcQuwuqrY+3XrKVt1ugJmZtY5kgaBA4DbgYGIWJlHPQ4M5PeTgWWFjy3PZfXKa33PLNLZfQYGBhgeHt5smoHtYfZ+6wFqji+DdevWlbZuFa6jmRW0bL9u1gluvJqZ9SlJOwJfA86IiGckbRgXESEpmvVdEXERcBHAtGnTYmhoaLNpPn35tZy3OP0sLT1x8/FlMDw8TK26l4nraGa1NHu/3shJyfEq84lMn3zr7Dpw49XMrA9J2prUcL08Ir6ei5+QtHtErMzdx1bl8hXA1MLHp+SyFcBQVflwK+ttZmZj0rL9eiMnJcdrZn5sXxlPZH768ms579bnAFg695gO16YzOnkC0ve8mpn1GaVLrBcDD0XEJwqjFgCVzJIzgGsL5Sfn7JSHAGtzN7QbgSMk7ZITehyRy8zMrBy8X7ee4iuvZmb951DgJGCxpHtz2QeAucBVkk4BHgOOy+NuAI4GlgDPA+8GiIjVkj4M3Jmn+1BEVCcLMTOzNpB0Bemq6W6SlpOyBnu/bj3FjVczsz4TEbcCqjP68BrTB3BqnXldAlzSvNqZmdl4RMQJdUZ5v249w92GzczMzMzMrPTceDUzM7OeJWmqpJslPSjpAUmn5/JdJS2U9Ej+u0sul6RPSVoi6T5JBxbmNSNP/4ikGfW+08zMWsONVzMzM+tl64HZEbEvcAhwqqR9gTnATRGxN3BTHgY4Ctg7v2YBF0Jq7JLuITwYOAg4u9LgNTOz9nDj1czMzHpWRKyMiLvz+2eBh4DJwHRgXp5sHnBsfj8duCyS24BJ+REjbwYWRsTqiFgDLASObN+SmJmZG69mZmbWFyQNAgcAtwMD+dEgAI8DA/n9ZGBZ4WPLc1m9cjMzaxNnGzYzM7OeJ2lH4GvAGRHxTHrccRIRISma9D2zSN2NGRgYYHh4eLNp1q1bV7O805pRr9n7rd/wvhnL2MvryszGzo1XMzMz62mStiY1XC+PiK/n4ick7R4RK3O34FW5fAUwtfDxKblsBekZmsXy4ervioiLgIsApk2bFkNDQ9WTMDw8TK3yTmtGvWbOuX7D+6UnTmxe0NvryszGzt2GzczMrGcpXWK9GHgoIj5RGLUAqGQMngFcWyg/OWcdPgRYm7sX3wgcIWmXnKjpiFxmZmZtMmrjVdIlklZJur9Q5vTy1pMc72ZmPedQ4CTgMEn35tfRwFzgTZIeAd6YhwFuAB4FlgBfAN4LEBGrgQ8Dd+bXh3KZmZm1SSPdhi8FPgNcViirpJefK2lOHj6TTdPLH0xKL39wIb38NCCARZIW5Gx9ZmVyKY53M7OeERG3Aqoz+vAa0wdwap15XQJc0rzamVk/GCx2p597TAdr0v1GvfIaEbcA1WcWnV7eepLj3czMzMysnMabsMnp5a2fON7NuoDPbJuZmfW2CWcbbmZ6eRg9xXwlNXklFXu3pCnvxpTq3VhnaG292x3v0PzHDtQzsD1dt12NpltjuJ5eWx4zMzOzsRhv47Ul6eVh9BTzldTklVTszUjD3g7dmFK9G+sMLal3x+Idmv/YgXo+ffm1nLd4q5Z/Tzt1awzX02vLY2Zm1iyV3jfuedPbxvuoHKeXt37ieDczMzMz67BGHpVzBfB9YB9JyyWdgtPLW49yvFu/8GOhzMzMrNuM2m04Ik6oM8rp5a3nON6tj1yKHwtlZtYXJC0FngVeANZHxLS8D78SGASWAsdFxBpJAi4AjgaeB2ZGxN2dqLdZtfF2GzYzsy7mx0KZmfWdN0TE/hExLQ9XTljuDdyUh2HTE5azSCcszUrBjVczM6vwY6HMzPrHWE9YmnXchB+VY2ZmvacTj4Wa6OOa2vFYqW54XJHraGY1BPDtvF//fH7awVhPWK4slDW0Xx+v8fwWtOtxf+P5rWrXYw/bpZP7cDdezcysoqOPhZro45ra8VipbnhcketoZjW8PiJWSHoZsFDSD4sjx3PCspH9+niN55GY7XqM5nh+q9r12MN26eQ+3N2Gzcyswo+FMjPrQRGxIv9dBVwDHEQ+YQnQ4AlLs45z49XMrA/5sVBmZv1B0g6Sdqq8J51ovJ+xn7A06zh3GzYz60N+LJSZWd8YAK5JT8BhK+ArEfEtSXcCV+WTl48Bx+XpbyA9JmcJ6VE5725/lc1qc+PVzMzMzKxHRcSjwGtrlD/FGE9YmnWauw2bmZmZmZlZ6bnxamY9a/GKtQwWMvyZmZmZWfdy49XMzMzMzMxKz41XMzMzMzMzKz03Xs3MzMzMzKz03Hg1MzMzMzOz0uvZxuvgnOudqMXMzMzMzKxH9Gzj1czMzMzMzHqHG69mZmZmZmZWelt1ugITVewavHTuMR2siZmZmZmVjY8Vzerrtu2j6xuvZdRtQWBmZmZmZlZ2bryOQaVRWq9B6gRRZmZmZmYbjXb8bDYWbryamZmZmVnfcW/J7tNXjddmBagD3cys9/jqgJmZWbk527CZmZmZmZmVXtsbr5KOlPSwpCWS5jRz3oNzrt/wMuu0VsZ6N/N22nsc69YvejnWB+dcz+IVa71vtg16Od57VT8cY7W127CkLYHPAm8ClgN3SloQEQ+2sx5F7gJsrVDGWDdrBcd64t+S3udYt37ieLdmafbvY7vveT0IWBIRjwJImg9MB1q2IdQ78zDSGYmxrORmndmY6D92tM/7Xq62a3usm3WIY936hWPd+onj3Uqp3Y3XycCywvBy4OA216GuVlxir8xz9n7rmTnG+TezQdtruuAqR6lj3ZqrlSeHirF+6ZE7NH3+TeBYb7KJxNPgnOs3/N604kRoo58f77ZQ8hOtTYv1xSvWbjgmKOmylkIlnoc6XZGsmfvjksc6eN/ecV1wrNsRioj2fZn0duDIiPirPHwScHBEnFaYZhYwKw/uAzxcNZvdgCfbUN1m68Z6d2OdYWO994yIl3aiAo3Eei4fLd7bqVv/3yPptWUaaXk6Eu9NjvVu+H+5js0xkTo61lunjPUqY52gPfUq9XFMyY5h2qmsMdlOzV4HDcd6u6+8rgCmFoan5LINIuIi4KJ6M5B0V0RMa031Wqcb692NdYbS1HvUWIfR472dSrLemqrXlqmky9O0WC/p8m3CdWyObqhjDT0f62WsVxnrBOWtVxNN+Ji9V/XB/35UnVwH7c42fCewt6S9JG0DHA8saHMdzNrBsW79wrFu/cKxbv3E8W6l1NYrrxGxXtJpwI3AlsAlEfFAO+tg1g6OdesXjnXrF4516yeOdyurdncbJiJuAG6YwCy6tXtCN9a7G+sMJal3E2K93Uqx3pqs15aplMvTxFgv5fJVcR2boxvquJk+iPUy1quMdYLy1qtpuvA4pl16/n/fgI6tg7YmbDIzMzMzMzMbj3bf82pmZmZmZmY2Zl3TeJV0pKSHJS2RNKfT9alH0lRJN0t6UNIDkk7P5btKWijpkfx3l07XtRZJW0q6R9J1eXgvSbfn9X5lvmm/VCRNknS1pB9KekjSH3TL+i6DejHb7apjudvVivNO12m8RtufS9o272+W5P3PYJvrN+o2IWlI0lpJ9+bXv7SzjrkOSyUtzt9/V43xkvSpvB7vk3Rgm+u3T2H93CvpGUlnVE3T8fXYTmXe35Zxn1nG/Z6kf8j/u/slXSFpu07XyVpH0iWSVkm6v1B2jqQVhf3W0Z2sY6uVrW3TFY1XSVsCnwWOAvYFTpC0b2drVdd6YHZE7AscApya6zoHuCki9gZuysNldDrwUGH4Y8D5EfEKYA1wSkdqNbILgG9FxO8CryXVv1vWdxnUi9luVx3L3a5WnHedBvfnpwBr8n7nfNJ+qJ0a3Sb+JyL2z68PtbeKG7whf3+tRxYcBeydX7OAC9tZsYh4uLJ+gNcBzwPX1Ji0DOuxXcq8vy3jPrNU+z1Jk4G/B6ZFxKtJiYyO72SdrOUuBY6sUX5+Yb/V6/cFl6pt0xWNV+AgYElEPBoRvwbmA9M7XKeaImJlRNyd3z9L2tFOJtV3Xp5sHnBsRyo4AklTgGOAL+ZhAYcBV+dJSldvSTsDfwxcDBARv46Ip+mC9V0WI8Rs16qO5W43Qpx3o0b258Xt92rg8Lw/aose2iamA5dFchswSdLuHarL4cCPI+KxDn1/KZQ1tsq4zyzxfm8rYHtJWwEvAn7W4fpYC0XELcDqTtejk8rWtumWxutkYFlheDkl2NmPJnd1OwC4HRiIiJV51OPAQJ3PXCrp3PbUcDOfBN4P/CYPvwR4OiLW5+Eyrve9gJ8D/5m7O31R0g40uL5tU1Ux267vbDjmczfJNzYw6SfZNJa7Xb0470aN7M83TJP3P2tJ+6OWqcShpD+S9HChfJD628QfSPqBpG9KelXV/BqN1YkI4NuSFkmaVWN8mX47jweuqDOu7nrsZZ3Y347gk3R4nylppqRbC0Wl2+9FxArg48BPgZXA2oj4difrZB3xFuCf8+0YN0ha0ekKtct42jbN1i2N164jaUfga8AZEfFMcVykFM9NTfM80UavpLcAqyJiUROr1Q5bAQcCF0bEAcBzVHVbaMX67kUjxWw36eJYHsmocW7NERH/ExH7wKjbxN3AnhHxWuDTwDfaWtHk9RFxIKl78KmS/rgVX1KjUTHWz28DvA34ao3RZViPbVem/W2J95ml2+/le/qmkxrWewA7SHpXJ+tkHXEMsBuwP/AUMKkyok0nLjui3W2berql8boCmFoYnpLLSknS1qR/7uUR8fVc/ESlu1b+u6pT9avjUOBtkpaSuvEdRrrXZFLuGgPlXO/LgeURUTlzfTXpx67s67tU6sRst9osliV9ebwzK8R/J9WL827UyP58wzR5/e9MOkBom9G2iYh4JiLW5fc3AFtL2q2ddcxXgYiIVaR7SQ+qmqQsv51HAXdHxBPVI8qwHtuthPvbpu4zx6POfraM+703Aj+JiJ9HxP8BXwf+sMN1sjaLiCci4oWI+A1wPVC6ZKbNVqa2Tbc0Xu8E9lbKfLsNqfvRgg7XaRP5TMs/SbqPlJRiMnB57gb1LLAt8J48+Y3AZKUMi7fU6yYlaaec3etTSn43Z/NarZSp87g83SzgROD9ktZJ+q9cl69Vze9Tki7I74cl/ZukOyQ9Q0qc8pqIGCSt37tJZxZfDPxY0hAwA7i2aSutCSLicWCZpH1y0eHAg6T4mJHLSlfvMsn3El4MPBQRnxhhug0xLuk5SRdLGqjEuKTv5LPSSHqbUka6p3Os/V5hPgdIujt/5kpgu6rveYtS9r6nJX1P0mtq1OW3JD0v6SWFsgMl/Rz4l4iYAnwI+BXp7P1LJe1ZmPYCScuUsp8ukvRHhXHnKGW3/HLeNmaOdZ022whx3o0a2Z8Xt9+3A9+NJj+UvF4cKmW/XU7eJkiNqRV5uoclHZ6n+3iOkyslPUe6ClOzS66kgyR9P8f0SkmfUSFzu6RXFfbtT0j6QC7fQtIcST+W9JSkqyTtmsf9nqSQ9O5c3w8CL5f0+3kbfTrX6eT8+3EIsDXwXUlrJN1YtU2EpPcoZY18WtJn8+d+D/gcqWvvujzfsTqBOl2G87asynoiHZe09URFOzW6v22niDgrIqYUfv+/GxEbribmfes9eRv4ao75c/O4uvvrQuw+q5Sl9E8L42ZK+l9J50t6Cjhn4yh9RtJaYBh4prDfOxbYJ28nSyT9df7A7+SyA/PwHpJ+rnTc0mw/BQ6R9KL8vzyc8iW5sibJ+9lh4D7gFZLelss3bAPA64H/y+VfAl4O/FfeX75f0vWS/q5qvvdVtoe87/17SY9KelLS/ydpi8K0f6mUaXuz/Xa7jLDf6syxdkR0xQs4GvgR8GPgnztdnxr1WwrcBryVdNl8PakR+zCpi8ktwKPAI6SDzpeTGrSfBO4tzOdS4FzS/V13AOfm8h1I9y69m3QwfgDwJLBv8XOF+exO6mIzKQ9vRToj8ro8PEw6A//qPO+vAV/O494O/Dqv898Bfgi8QArKbTu9rmus+/2Bu0g7l28Au+T1d1Ne398Bdu10Pcv6Iu14I6+/e/Pr6BFifIB0kL6KdJLjANKB/3eBs4FX5th7E+lg+f3AEtKZyW2Ax4B/yOPeTtrpV+L8gDzfg0lZHGfk7922UIc35vc3AH9bqN/5wKfz++n5O08mnRX9IPC9wrTvyjGyFTCbdK/GdnncOblOx5IOpLfv9P+oXpx3uk4TWJbN9uekkw1vy++3I3UxXULaD/52k7+/bhwCQzkGg7T//jVwf67zPwMfLMRf5Ji8ndTl9SfA1jVi9XWkDI1bAYOkg90z8ridSPfOzc7LvRNwcB53Ommbm0L6vfg8cEUe90f5+58k/ab8J/BL0vb7T2zcRq/J63kp6Tfk93I9qreJAK4jdX97OelewyPzuJnAreNc1zuQGqM7F8reA7wnvz8NeAD4QV7WP+x0fLY49hva33awfkPAdTW2ldPztvJneZs4l9H31+8gnUDZAngn6Xdh90JMrQf+Lsfj9oWyynb5TuBZ4J68vp4kHUBvR9of/hw4LM/vr/N28CLSBYKPt3Ad/SvpuOh+4EuU8LjIr6b8n7cm/Qb9gLSPXk+6J/wDeZ+6Ksfl/wI/K3xuKXnfn4ePA24vDL827xO3ycMB3Azsmve9PwL+Ko+rHMvU3G+3cV3U3G/RoWPtjgdHr7xysJ5YGP4a6T6NyvDfAd+o8blJOSB2zsOXApfkneI/FaZ7J+lxAsXPfh44u/C5c6vGfxP46/z+LcCDhXHDwNzC8L6kH6QtgTOBL1XN60ZgRqfXs1+dezUa48D/A64qlG9BOlEyRMoc+TNAhfHfY2Pj9ULgw1Xf+zDwJ4U6VBoE7wT+N7/fktQAPSgPfxM4paoOz5Purau1bGuA1+b35wC3dHp9+9W610hxmON0eS57BekA5Y3kRmlh+nOA2wrDW5AOcP4oD2+I1RrffwZwTX5/AnBPnekeAg4vDO9OamRXGsEBTC6Mfwp4Z2G4cm/SqNtEntfrC+OvAubk9zMZZ+PVr+5+5W1lRdW2cmveVkbcX9eY173A9Px+JvDTqvEza2yXdwAnkbq/vwDsVBj3b8ClheEFwGLSAbYblH5N6EU6Qfg4sEWh7Iq877+UjcctG34z8vAm+37SyZY1wN55+OPAfxTGB/lEYR5+L+nxM6Put/v11S3dhrtF8X6eX9QY3lHpIeBzc1eaZ0hBDunG74pjSGchP1co2xM4OHfNeTp33ToR+K0R6jOPdIWJ/PdLVeOLWSgfI51l2i1/1zuqvuv1pAMn62+jxjjpTPuGx2FEuidkGelK0B7Aish74az46Iw9gdlVsTc1f67atcC+kvYiXeVdGxF3FOZzQWEeqwHlOiDpfbkbzto8fmc23QaL24b1ntHiEICIWEJqaJ4DrJI0X1IxFpcVpv0N6R69zWJV0islXSfp8bzf/ygb420q6Sx+LXsC1xTi+CHSAXwxo2Mj22RlXnW3iezxwvvnC5+1/lVrW6nE/Yj7a0knF7oUP03q6TXafrbWdrlHfq2O9JiO4rhi/H4hf8enI+JXY1xOs2p7AMvyvr2iOuZGFRG/BK4E3pW7A5/A6Mfjld+RRvbbfceN1/b7C1I3gDeSDpgHc3nxGYZfAL4F3KCNaeGXAf8dEZMKrx0j4m/z+OLOvuIbwGskvZp05fXyqvHFRB4vJ53RfzJ/15eqvmuHiJg7juW1/vMz0g4X2HCvxFTS2fuVpPu9i/H+8sL7ZcBHqmLvRRGx2f1y+QfhKtKJmZPY9MdgGfA3VfPZPiK+p3R/6/tJXXl2iYhJpEexFOtUa3uy3jFaHG4QEV+JiNeTYjqAjxVGb9iH5oOSKdR+5uOFpG6Ge0fEi0ndzirfvQz47Tr1XAYcVRXH20VO1DRGdbeJBj7r7aF/1dpWKnFfd3+d78v7Aqlb+EvyfvZ+Rt/P1touf5Zfu0raqWrcCtiQBfWTpG7F5yjfG242AT8DphbvP6UQcyOoFdfzSBecDgeej4jvV42vPh6v/I5MZL/ds9x4bb+dSElkniLdm/HROtOdRup+81+Stifdi/RKSSdJ2jq/fl8bE+E8QdUBUD64vxr4CnBHRPy06jveJWlfSS8i3W92dUS8AHwZeKukN+crxdspJTGZMuGlt35wFXCMpMOVstPNJsX894Dvk+4b+fscw3/GphlSvwC8R9LBSnaQdEzVAUvRZaSuZm9j08br54CzlJOhSdpZ0jvyuJ1yHX4ObCXpX0iJyax/jBaHAEjaR9JhkrYl3U/6CzZ9DubrJP2ZUqbUM0hxfluN79sJeAZYJ+l3gb8tjLsO2F3SGZK2VUrUd3Ae9zngI5UEHZJeKmn6OJd5pG1iNE8AU1RIMmV94/ukq/2nSdoqx19lWxlpf70D6SD+5wCS3k26Kjqal7Fxu3wH6V6/GyJiGek35N/yMclrgFNIxyuQno5wV0T8FSnPwedqzNtsLG4n9UB5f47HIVJem/mjfK7W8fj3Sb8d57H5VVeAf5K0i6SppPvLr8zlE9lv9yw3XtvvMlKXgBWk5AK1DnTI3WZmkbqhXUu6KnoEKRPgz0jduz5GSuIB6WzjvrlrwTcKs5oH7EftjeVLpH77j5P65P99/u5lpKvDHyD98CwjJQBxvNioIuJh0tXQT5Ou5L8VeGtE/Doifk1K+DGT1P3lnaRHDVQ+excp8cZnSPeILGGEbL8R8b+kH4S7I6LYVfka0vYxP3fTvJ/0uA5I929/i5QU4TFSo8TdhPvIaHFYsC0wlxTHj5MOrM8qjL82f3YN6er/n0V6fEa195F63TxLOuCvHJiQu0G+ibSdPE5KfPGGPPoC0n1831bKWn8bKTnOmI2yTYzmu6SkSo9LenI832/dqbCtnAI8Tdq3Xwf8aqT9dUQ8SDpQ/z7pYH4/UmKb0dwO7E3a5j4CvD0iKtmnTyD1VvsZKRHZ2RHxndygPpKNJ4X+EThQ0onjXGyzSuy/lbSffBL4D+DkiPjhKB/9N+CD+Xj8fYXyy0jbQa3HUF0LLCLdF3496Zh+ovvtnqVNby2wXiPp5aTuar8VhQcKK6X+/nJEfLFTdTNrBknfBb7iWLZ2knQO8IooPFLErB9Iuh34XET8Z6frYtYtJJ0MzMq3oRTLg3RLyZIWfveVQOWRU5OApyNi/6pp9qFwYpV09fhfIuKTkl5Lugq8IxuTdxbbFC8nXZA7JyI+Pkpdhkk5dH6Ri46I9KzyhtV6KLT1iNxP/x+B+cUgM+sVkn6f9ND68XalNDOzEUj6E9JtTE+S7tt7Dan3ipk1IN+e917S1dtWf9cQMDMiZlbKIuKdhfHnkfJ8bCL3mts/T7MlqYfoNXn0F4H3RcR/S/pLUm/M/1f4+CdImZEbdWLuuTEu7gbao3Kip2dI3dHO7nB1zJpO0jzSc8XOqMpAaWZmzbMP6VmXT5NyGLw9IlZ2tEZmXULSm0m34D1BykHTybqIlKxysySYVQ4Hfly4HeuVwC35/ULgzwvzPJb0jPMHqr7rXZLuUMo4/vncIG4KX3ntURHxHCM85iAihtpXm+4naRLpzNOrSUko/pJ0JvpK0j04S4HjImJN3jlcQHqA8/OkM2B3t7/WvS0iZnS6Dta/IuKcTtfBrB0i4iLgok7Xw6wbRcSNpARm9car3rgW+CPgiYh4ZJTpjmfTBu4DpB5u3wDeQc6OnLN8n0m6ULbh/t6cTPadwKER8X+S/oPUa+OyPMl/SnqB9Czyc6sejzUqX3k1a8wFwLci4neB15KetziH9CDpvYGb8jCkm+n3zq9ZpMdkmJmZmZk1naTbJd1LutDytnzF89585bfiBEa56pqzyr8N+Gqh+C+B90paRMqe/+tcfg5wfkSsq5rN4cDrgDtznQ5nYwbmEyNiP1JD+o9IyQ7HxAmbzEYhaWdSBrjfLp4dkvQwMBQRKyXtDgxHxD6SPp/fX1E9XQeqb2ZmZmZ9oNY9r7l8K9J9rK+LiOUjfH46cGpEHFFn/CtJCV8PkvQ/bHxG7STS0x/+hfQ85z0i4qxa8yjMayYwLSJOG3XBip8rc+N1t912i8HBwZrjnnvuOXbYoe5V+L7gdZDUWw+LFi16MiJeOtH5S9qf1GXqQdJV10Wk53CtyA9er9xHsCYiJkm6DpgbEbfmcTcBZ452c/pI8V5PGWOgbHXql/o0K97bYTyx3mxli4vx6oXlGOsydGus98L/qtm8TjZXXCfdGutl4zhLyrwexhLrpb7ndXBwkLvuqn28Pzw8zNDQUHsrVDJeB0m99SDpsc2nHpetSBlt/y4ibpd0ARu7CAPpubw53fmYSJpF6lrMwMAAH//4iBnGN7Nu3Tp23LHurc0dUbY69Ut93vCGNzQr3ltupH17u/TK/rMXlmOsy9DEfXvLFWO9F/5XzeZ1srniOunWWC8bx1lS5vUwllgvdePVrCSWA8sj4vY8fDWp8fqEpN0L3YYrz6lawcZuFABTctlmiokwpk2bFmPdqZRxR1S2Ork+ZmZmZr1h1IRNkrbLqY5/IOkBSf+ay/fKNwcvkXRlvsEXSdvm4SV5/GBhXmfl8oerbiA2K62IeBxYlh/gDOnG8weBBUAl4+0M4Nr8fgFwspJDgLW+39XMzMzMbGIayTb8K+CwiHgt6eG1R+YD8o+RMky9AlgDnJKnP4V0798rgPPzdEjal5R6+VXAkcB/NPOZP/1o8Yq1DM65nsE513e6Kv3g74DLJd1H2g4+CswF3iTpEeCNeRjgBuBRYAnwBdKDqa3LVLYtb1+9Z3DO9Rv2n2Zl4n2O9SLHtTXTqN2Gc3bVSgrkrfMrgMOAv8jl80jpki8kPQfonFx+NfCZnMxmOjA/In4F/ETSEuAg4PvNWBCzVoqIe4FpNUYdXmPaAE5tdZ3MzMzMzPpJQ/e85iuki4BXAJ8Ffgw8HRHr8yTLgcn5/WRgGUBErJe0FnhJLr+tMNviZ4rftUkCm+Hh4Zp1WrduXd1x/WJge5i9X/oX9PO6cCyYmZmZmfW+hhqvEfECsL+kScA1wO+2qkKNJrBx0hP49OXXct7i9C9ceuJQZyvTQY4FMzMzM7Pe18g9rxtExNPAzcAfAJPyA29h02yqGzKt5vE7A08xhgysZmbWWpIukbRK0v2FsnMkrZB0b34dXRhXM+GepCNz2RJJc6q/x8zMzKxZGsk2/NJ8xRVJ2wNvAh4iNWLfnierzrRaycD6duC7+R7ABcDxORvxXsDewB1NWg4zszFxQiYuJSXPq3Z+ROyfXzdA/YR7+ZaSzwJHAfsCJ+RpzczMzJqukW7DuwPz8kHKFsBVEXGdpAeB+ZLOBe4BLs7TXwx8KSdkWk064CEiHpB0FekRI+uBU3N3ZDMza7OIuKX4KLNR1Eu4B7AkIh4FkDQ/T/tgs+trZmZm1ki24fuAA2qUP8rGg5di+S+Bd9SZ10eAj4y9mmZm1ianSToZuAuYHRFrGDnh3rKq8oPbUkszMzPrOw0lbDIz60aDc65n9n7rGep0RbrHhcCHSY9D+zBwHvCXzZhxo5nk22H2fus3ZGvv9kzlvZBtvReWwczM2sONVzMzAyAinqi8l/QF4Lo8OFLCvYYS8TWaSb4dZuaTGuct3qrrM7X3Qrb1XlgGMzNrjzFlGzYzs94laffC4J8ClUzE9RLu3QnsLWkvSduQchwsaGedzcxsUzmh3j2SrsvDe0m6PWeFvzLvr8n79Ctz+e3FPAj1MsybdZobr2ZmfUjSFcD3gX0kLZd0CvDvkhZLug94A/APkBLuAZWEe98iJ9yLiPXAacCNpCz0V+Vpzcysc04n7ZMrPkbKJP8KYA1wSi4/BViTy8/P09XNMN+mupuNyI1XM7M+FBEnRMTuEbF1REyJiIsj4qSI2C8iXhMRb4uIlYXpPxIRvxMR+0TENwvlN0TEK/M4J+Sz0qnzTONdJS2U9Ej+u0sul6RP5StO90k6sPCZGXn6RyTNqPVdZp0maQpwDPDFPCzgMODqPMk84Nj8fnoeJo8/PE+/IcN8RPwEKGaYN+soN17NzMysl13K5s80ngPcFBF7AzflYUjPLN47v2aRkpghaVfgbFI27YOAsysNXrOS+STwfuA3efglwNO5pwxsmi1+MjljfB6/Nk+/obzGZ8w6ygmbzMzMrGfVeabxdNiQiHweMAycmcsvi4gAbpM0Kd8LPgQsjIjVAJIWkhrEV7S6/maNkvQWYFVELJI01IbvayiL/Oz9Uru5U1nFndE86ZX14MarmZmZ9ZuBQrf4x4GB/L7eFSdfibJucCjwNklHA9sBLwYuACZJ2ipfXS1mha9kkl8uaStgZ+ApRs4wv0GjWeRnzrkeoGPZ3Z3RPOmV9eDGq5mZmfWtiAhJ0az51bsa1chVj05foWq3XrkS1EwTWScRcRZwFkC+8vq+iDhR0leBtwPzgRnAtfkjC/Lw9/P47+btYQHwFUmfAPZgY4Z5s45z49XMzMz6zROSdo+Ilblb8KpcXu+K0wo2djOulA/XmnG9q1GNXPXo9BWqduuVK0HN1KJ1ciYwX9K5wD3Axbn8YuBLkpYAq0kZhomIByRVMsyvJ2eYb3alzMbDjVczszEYrBxczj2mwzUxswmoXHGay+ZXok6TNJ+UnGltbuDeCHy0kKTpCPIVLrMyiohh8gmWiHiUGtmCI+KXwDvqfP4jgDPIW+m48WpmXaFWo9ENSTMbTX6m8RCwm6TlpKzBc4Gr8vONHwOOy5PfABxNejTI88C7ASJitaQPA3fm6T5USd5kZmbt48armZmZ9ayIOKHOqMNrTBvAqXXmcwlwSROrZmZmY+TnvJqZmZmZmVnpufFq1iBJW0q6R9J1eXgvSbdLWiLpSknb5PJt8/CSPH6woxU3MzMzM+sBbryaNe504KHC8MeA8yPiFcAa4JRcfgqwJpefn6czMzMzM7MJcOPVrAGSpgDHAF/MwwIOA67Ok8wDjs3vp+dh8vjD8/RmZmZmZjZOTthk1phPAu8HdsrDLwGejoj1eXg5MDm/nwwsA4iI9ZLW5umfrJ5pvYfZN6qMD3hvVZ1m75dWdXHetcqqPzOwfe3xlc/W+3y98aN952jK+D8zMzMz6wajNl4lTQUuAwaAAC6KiAsk7QpcCQwCS4HjImJNvsJ0ASnV/PPAzIi4O89rBvDBPOtzI2IeZiUn6S3AqohYJGmomfOu9zD7RpXxAe+tqtPMymNxThwasaz6M7P3W89xNepT+Wy9z9cbP9p3jqaM/zMzMzOzbtBIt+H1wOyI2Bc4BDhV0r7AHOCmiNgbuCkPAxwF7J1fs4ALAXJj92zSQ78PAs4uPOzbrMwOBd4maSkwn9Rd+AJgkqTKCaApwIr8fgUwFSCP3xl4qp0VNjMzMzPrNaM2XiNiZeXKaUQ8S0pYM5lN7+urvt/vskhuIx3g7w68GVgYEasjYg2wEDiymQtj1goRcVZETImIQeB44LsRcSJwM/D2PNkM4Nr8fkEeJo//bn52oJmZmZmZjdOY7nnNj/w4ALgdGIiIlXnU46RuxVC43y+r3AtYr7z6Oxq6B9D3jcHA9hO//64XdDAWzgTmSzoXuAe4OJdfDHxJ0hJgNanBa1Yqki4BKl3iX53LfDuImZmZlVbDjVdJOwJfA86IiGeKyVMjIiQ15cpSo/cA+r4x+PTl13Le4vQvHO/9d72gnbEQEcPAcH7/KKkLfPU0vwTe0ZYKmY3fpcBnSDkNKiq3g8yVNCcPn8mmt4McTLod5ODC7SDTSDkRFklakHvXmJmZmTVVQ4/KkbQ1qeF6eUR8PRc/kbsDk/+uyuUb7vfLKvcC1is3M7M2i4hbSD0Dinw7iJmZmZXWqI3X3F3sYuChiPhEYVTxvr7q+/1OVnIIsDZ3L74ROELSLjlR0xG5zMzMyqElt4OYmZmZNUMj3YYPBU4CFku6N5d9AJgLXCXpFOAx4Lg87gbSfVFLSPdGvRsgIlZL+jBwZ57uQxFRfdbfzPrUYOURNHOP6XBNDJp7OwhM/JnGzVR5/u/s/dZ3fb6AXsj/0AvLYGZm7TFq4zUibgVUZ/ThNaYP4NQ687oEuGQsFTQz6xaDxWfDdmcj/AlJu0fEyjHcDjJUVT5ca8YTfaZxM1We/3ve4q26Pl9AL+R/6IVlMDOz9mjonlczM+sLvh3EzMzMSmtMj8oxMxsvdwsuF0lXkK6a7iZpOSlrsG8HMTMzs9Jy49XMrA9FxAl1Rvl2EDMzMysldxs2MzMzMzOz0nPj1czMzMzMzErPjVczMzMzMzMrPTdezczMzMzMrPTceDUzMzMzM7PSc+PVzMzMzMzMSs+NVzMzMzMzMys9N17NzMzMzLqcpKmSbpb0oKQHJJ2ey3eVtFDSI/nvLrlckj4laYmk+yQdWJjXjDz9I5JmdGqZzKpt1ekKmJmZjdfgnOtrli+de0yba2LdSNJS4FngBWB9REyTtCtwJTAILAWOi4g1kgRcABwNPA/MjIi7O1HvVqtsV96Ous56YHZE3C1pJ2CRpIXATOCmiJgraQ4wBzgTOArYO78OBi4EDs7bwNnANCDyfBZExJq2L5FZFV95NTMzs372hojYPyKm5eE5pAP9vYGb8jBseqA/i3Sgb1YaEbGyckIlIp4FHgImA9OBeXmyecCx+f104LJIbgMmSdodeDOwMCJW5wbrQuDI9i2JWX2+8mpmZma20XRgKL+fBwyTrlJtONAHbpM0SdLuEbGyI7U0G4GkQeAA4HZgoBCnjwMD+f1kYFnhY8tzWb3y6u+YRTqRw8DAAMPDwzXrMnu/9QB1x7faunXrOvbdZdIr68GNVzMzM+tXAXxbUgCfj4iLGPuB/iaN13oH9I0cOHb6IL/d9eiVg+lmasY6kbQj8DXgjIh4JvV4TyIicrxPWN5eLgKYNm1aDA0N1ZxuZqUb+om1x7fa8PAw9erWT3plPbjxamZmZv3q9RGxQtLLgIWSflgcOZ4D/XoH9I0cOHb6IL/d9eiVg+lmmug6kbQ1qeF6eUR8PRc/UeklkLsFr8rlK4CphY9PyWUr2Nj7oFI+PO5KmTWR73k1G0Uzs/dZfxuccz2LV6ytm2TIzNorIlbkv6uAa4CDyAf6AA0e6JuVQk4qdjHwUER8ojBqAVDJGDwDuLZQfnI+bjkEWJt7HdwIHCFpl3xsc0QuM+u4URuvki6RtErS/YUyp9y2flLJ3rcvcAhwqqR9cVKPTQzOuX5D48zMrOwk7ZAzsiJpB9IB+v2M/UDfrCwOBU4CDpN0b34dDcwF3iTpEeCNeRjgBuBRYAnwBeC9ABGxGvgwcGd+fSiXmXVcI92GLwU+A1xWKKsctDvltvW8fHCyMr9/VlIxe99QnsxJPczMussAcE2+H3Ar4CsR8S1JdwJXSToFeAw4Lk9/A+kxOUtIj8p5d/urbFZfRNwKqM7ow2tMH8CpdeZ1CXBJ82pn1hyjNl4j4pacsaxoTAftedqFlbM2+ZlTRwJXTHwRzNpngtn7Nmu8Npqpr54yJbuoJPgY2L52ko/REoCMZ3wjnxmtPvU+X2/8SN/ZyDwHtk9/y/J/q8XPvrR+EBGPAq+tUf4UYzzQNzOz9hhvwqaWpNw2K7NWZO9rNFNfPWVKdlFJ8DF7v/UcV6NOoyUAGc/4Rj4zWn3qfb7e+JG+s5F5zt5vPect3qrjCVka8IaIeLIwPKYeN+2urJmZmfW+CWcbbmbKbWj8SlSZrjh1SuUKDnQ+rX4ntSMWmpS9z6ybuZu8WQlVEsAtnXtMh2tiZtZ64228tizldqNXosp0xalTPn35tZy3OP0Lu+AqTsu0OhYayN43l82TepwmaT7pCpSTeli3afqzL82seZyx3Mz61Xgbr2M6aJd0I/DRSlZiUka/s8ZfbbO2qmTvWyzp3lz2AVL8O6mH9aKmP/tyovd311O8z7hopPl3y73HjeiFXki9sAxmZtYeozZeJV1Bumq6m6TlpKzBYzpoj4jVkiopt8Ept22CimedLz1yh5Z+VzOz95l1g+KzLyVt8uzL8XaTn+j93fXMrHMFaqTeKF127/GIeqEXUi8sg5mZtUcj2YZPqDPKKbfNzHpMft7lFvmxUJVnX34Id5M3MzOzDptwwiYzM+spfvalmZmZlZIbr2ZmtkGvPfuyeIuBs7GamZl1ty06XQEzMzMz64zBOdc7e7GZdQ1feTUzMzOzMXPPBjNrt6698rp4xVqfKTRro8rZeW93ZmZmZtYJvvJqZlYSvophZmZmVp8br2a2mUojyg0oK6sy9wDwSQgzM7PW6Npuw2ZmZmbWHXzbiZk1g6+8mpmZmVnD3Ag1s07xlVczMzMzMzMrPV95NTMzq8P3r1qr1bqK6bhLnH/BzKr5yquZmVkDfM+eWet4+zKzRvjKq1kf8ll9MzMzM+s2vvJqZmZmZmZmpecrr2ZmZmbWFO7ZY2at5CuvZmZmZmZmVnq+8mrWg3zm28zMisr4u7B4xVpmViVpctImMxuJG69mZmZmXaCVDbtubDT6UTpm/aft3YYlHSnpYUlLJM1p9/ebtYtj3fpFu2K98iiNbjzItt7g/br1E8e7lVFbr7xK2hL4LPAmYDlwp6QFEfFgO+th1mqOdesXzYz1et0a291Y7UTjuIxdOm1TrYr1VvPJHhuPXjmOGZxzPbP3W8/MOdd739oj2t1t+CBgSUQ8CiBpPjAd6KoNwawBLY31ysHI7P3WM9SMGZqNX9/t11vd0HRXyNLqu1ifqDI2nL19NczxbqXU7sbrZGBZYXg5cHCb62DWDk2LdV+R6W9d8P/vmf36eA60G/3MeP6Po32m1hWFsVy9rjV+tLKx1LmWWvMqJu0paYxXdE2st6LRWJaGaK161Ir7sdS3E/vZLmhEd028d4Mu+C3vGoqI9n2Z9HbgyIj4qzx8EnBwRJxWmGYWMCsP7gM8XGd2uwFPtrC63cDrIKm3HvaMiJe2uzLQWKzn8kbjvZ4yxkDZ6tQv9elIvLcx1putbHExXr2wHGNdhm6N9V74XzWb18nmiuuk1McxJdyv1+M4S8q8HhqO9XZfeV0BTC0MT8llG0TERcBFo81I0l0RMa251esuXgdJSdfDqLEOjcd7PWVc9rLVyfVpubbEerP1yv+hF5aji5ZhQrHeRcvZNl4nmyvROmnaMXunlWiddlSvrId2Zxu+E9hb0l6StgGOBxa0uQ5m7eBYt37hWLd+4Vi3fuJ4t1Jq65XXiFgv6TTgRmBL4JKIeKCddTBrB8e69QvHuvULx7r1E8e7lVW7uw0TETcANzRhVqXvptAGXgdJKddDE2N9JGVc9rLVyfVpsTbFerP1yv+hF5aja5ZhgrHeNcvZRl4nmyvNOunSfXstpVmnHdYT66GtCZvMzMzMzMzMxqPd97yamZmZmZmZjVnXNV4lXSJplaT7O12XTpE0VdLNkh6U9ICk0ztdp3aTtJ2kOyT9IK+Df+10nZqh3v9W0q6SFkp6JP/dJZdL0qckLZF0n6QDC/N6QdK9+TXuJAvjqNPvSvq+pF9Jel/VvI6U9HCu75wS1GeppMV5Hd01nvqMs04n5v/XYknfk/TaZq4jq6+X9p+StpR0j6TrOl2X8ZI0SdLVkn4o6SFJf9DpOrVCv2/XY91H9pPq7VgpQdLtOVauVEqWZOPQS/v7ieqF34uKrus2LOmPgXXAZRHx6k7XpxMk7Q7sHhF3S9oJWAQcGxEPdrhqbSNJwA4RsU7S1sCtwOkRcVuHqzYh9f63wExgdUTMzQc+u0TEmZKOBv4OOJr08PALIuLgPK91EbFjB+r0MmDPPM2aiPh4ns+WwI+AN5Eedn4ncMJY47ZZ9cnzWgpMi4gJPfdsHHX6Q+ChiFgj6SjgnIg4uFnryOrrpf2npH8EpgEvjoi3dLo+4yFpHvA/EfHFfJD+ooh4usPVaipv12PfR3aupu1XvR1Lugr4ekTMl/Q54AcRcWFna9mdeml/P1G98HtR0XVXXiPiFmB1p+vRSRGxMiLuzu+fBR4CJne2Vu0Vybo8uHV+ddeZmBpG+N9OB+blyeaRfvTJ5Zfl9XEbMCnvrDtWp4hYFRF3Av9XNauDgCUR8WhE/BqYn+fRqfo0zTjq9L2IWJPLbyM9Pw+atI6svl7Zf0qaAhwDfLHTdRkvSTsDfwxcDBARv+61hmvW99v1OH7b+kL1dpxPzB8GXJ0n6bt10ky9sr+fqF74vSjqusarbUrSIHAAcPsI05wo6dttq1Sb5C4Q9wKrgIURUXcddKOq/+1ARKzMox4HBvL7ycCywseWs3HHvJ2kuyTdJunYNtapnpHq2on6QDrh8W1JiyTNmkhdJlCnU4Bv5vdNX0dWXyP7zxL7JPB+4DcdrsdE7AX8HPjP3J3ti5J26HSlWsDbdUET9tu95JNsuh2/BHg6Itbn4b6OlWbq8v39RH2S7v+92MCN1y4maUfga8AZEfFMveki4vKIOKJ9NWuPiHghIvYnXbU6SFLPdCMf6X8bqa9/I1eZ94yIacBfAJ+U9DslqNN4vndXSddIek7SY5L+oon1eX1EHAgcBZyab0uYSF3HVCdJbyA1Xvuqm1wZNLr/bGN9Tssnm34l6dJRpn0LsCoiFrWndi2zFXAgcGFEHAA8B/Td/aD9JG93Xyd1o14M7KyUc+CoVv6OlFEPbcel18n9vaQvS1op6RlJP5L0V23+/p6LMzdeu1S+z/NrwOUR8fURpmv7s3zbLXczuxk4ssNVaYo6/9snKt2B899VuXwFMLXw8Sm5jIio/H0UGCadcWxHneqpW9dRfBb4NemM/InAhUoJjiZan+I6WgVcQ+reNy5jXUeSXkPqwjM9Ip7KxeNdRzYGje4/2+xnwLnAJQ1MeyjwtnzP9nzgMElfbmHdWmU5sLzQa+ZqUmO213i7ZpPt7ipSnoo/ITVizwOukvT7NLDf7iGbbcfABaTbfyrHbn0ZK81Ugv39vwGDEfFi4G3AuZJe18bv75Xfiw3ceG0BpQym71PKJrpWKVvcdnncW/JZxqeVsoy+Jpe/W9J/FebxiKSvFoaXSdo/vw/gf4FDgA9I+v8kbZHHzZT0v5LOl/QUcE4uu7Uwr1cpZfVbLekJSR/I5VtImiPpx5KeknSVpF1bvsLGQdJLJU3K77cnJcL4YUcr1QT5fpeLScl8PlEYtQCYkd/PAK4tlJ+s5BBgbUSslLSLpG3zPHcj7bzGlaBgHHWq505gb6VMitsAx+d5jPTdOwB/Dvy/iFgXEbfmz3x5ovWRtINSAofK9xwBjCuL+VjXkaSXk64+nBQRPypMP+Z1ZGMzwv+qoyLi6xHxDeCpBqY9KyKmRMQgKUa+GxHvanEVmy4iHgeWSdonFx3OOPdTJdf323XVdjc3Is6JiKWk9TAZ+AlwOqP/jvSMOtvxiaST8W/PkzXy22p1lGF/HxEPRMSvKoP5NaGecGP8/p74vdhERHTVC7gCWElKvrIcOKXTdapRx6XAHcAewK6kG8TfQ7rytYqUFXZL0k5pKbAt8NvA06QTCnsAj5HOSJPHrQG2yMOV4H8gv35JyjILKXPfelIG2q2A7XPZrXn8Tnn9zQa2y8MH53GnszF5zLbA54ErOr0+66zj1wD3APeRGhz/0uk6NWm5Xp//t/cB9+bX0aT7YG4CHgG+A+yapxfpyuSPSV2wpuXyP8zDP8h/x72djKNOv5W3zWdyTC8nZbcjf+5Hub7/3MB3HwA8X1X2mWbUJ29XP8ivBxqpTxPX0RdJ23Rl2rsK8xrTOvKrOf+rTterUL9zgUvHMP0QcF2n6z2B5d0fuCv/P75Byjbb8Xq1YDn7erseZR/5P6R78b5X2Uf226u4HeffpjuAJcBXgW07Xb9ufZVlfw/8B/B8rsvdwI4dWh9d/XtReXXdo3K6Qb40/8GI+HIe/nfSwXIAT0bE/ytM+zAwKyL+W9IyUua9V5K6j+wPnAz8AfCnEfG2/JkAjoqIb+Xh9wJ/HhGHS5oJfCgiXl74jpnAX0XE6yWdALw/0v1F1fV+CDgtIm7Kw7sDPwW2j43JA8zaRtIfAV+NiN8qlP01cGJEDHWsYmYtIulcYEpEzOx0XcxaLXfp/Cbw44j4m07Xx6xVlB6Z9QekBuTHIqJlT0Dode423DqPF94/D+xIetbk7Nxl+GlJT5Pug9kjT/ffpKD+4/x+mHRPyJ/k4aJi5sLHCvOoHldtKunMby17AtcU6vYQ8AL9l/3PymMd6cRP0YuBZztQFzMza5J8u9OXSDkNTutwdcxaKlKS0VtJvRv/ttP16WZuvLbXMuAjETGp8HpRRFyRx1car3+U3/839RuvxeQPLycl+6gY6XL6MlKXlHrjjqqq33aRk9qYdcCPgK0k7V0oey2pm6+ZmXWhwr2IA6SeY74KZf1iK9p4z2svcuO1vb4AvEfSwTnBzg6SjqkkjSE1UN9A6qa7nHQfyJGke0LuqZrXP+WkPFNJ96pe2WAdrgN2l3SGpG0l7STp4Dzuc8BHJO0JG5Ii9dWD1K1cIuI5UmKjD+Xt5VBS1/ovdbZmZs0laauc2G9LYEtJ26kPssVb37oQ+D3grRHxi05XxqwVJL1M0vGSdpS0paQ3AyeQcmHYOLnx2kYRcRfw16SEM2tIN+PPLIz/Eamb5P/k4WeAR4H/jYgXqmZ3LbCIdPP59aQzmI3U4VlSZt63kro2P0JqMENK0b4A+LakZ0nJmw6uNR+zNnovKfHYKlLCtr+NCF95tV7zQeAXpOecviu//2BHa2TWAvkE+d+Q8no8Lmldfp3Y2ZqZNV2QuggvJx33f5z0rNm+yjbebE7Y1IVywqa9I2JJp+tiZmZmZmbWDr7yamZmZmZmZqXnxquZmZmZmZmVnrsNm5mZmZmZWen5yquZmZmZmZmVnhuvZmZmZmZmVnqlfobcbrvtFoODg5uUPffcc+ywww6dqdAYdEM9u6GOMP56Llq06MmIeGkLqtQSteIduuf/VNFN9e2musLI9e2meK8X62XSS7FRNhOtq2O9Md0QE67jyHol1rvh/9wqXvbGln1MsR4RpX297nWvi2o333zzZmVl1A317IY6Roy/nsBdUYI4bvRVK94nsvyd0k317aa6Roxc326K93qxXia9FBtlM9G6OtYb0w0x4TqOrFdivRv+z63iZW/MWGLd3YbNzMzMzMys9Nx4NTMzMzMzs9Ir9T2vjRicc/2G90vnHtPBmpi1xuIVa5mZ49wxbv3M+3uzxNuC9SLHtTXCV17NzMzMzMys9Nx4NTMzMzPrUZK2k3SHpB9IekDSv+byvSTdLmmJpCslbZPLt83DS/L4wY4ugFmBG69mZmZmZr3rV8BhEfFaYH/gSEmHAB8Dzo+IVwBrgFPy9KcAa3L5+Xk6s1Jw49XMzMzMrEflp5Gsy4Nb51cAhwFX5/J5wLH5/fQ8TB5/uCS1p7ZmI+v6hE1mZmZmZlafpC2BRcArgM8CPwaejoj1eZLlwOT8fjKwDCAi1ktaC7wEeLJqnrOAWQADAwMMDw/X/O5169bVHVc0e7/1G943Mn03aHTZe1Grlt2NVzMzMzOzHhYRLwD7S5oEXAP8bhPmeRFwEcC0adNiaGio5nTDw8PUG1c0s5ht+MTRp+8GjS57L2rVsrvbsJmZmZlZH4iIp4GbgT8AJkmqXMiaAqzI71cAUwHy+J2Bp9pbU7PaRm28SrpE0ipJ9xfKdpW0UNIj+e8uuVySPpWzk90n6cDCZ2bk6R+RNKM1i2M2cZK2lHSPpOvy8Jiz8Uk6K5c/LOnNHVoUMzMz63OSXpqvuCJpe+BNwEOkRuzb82QzgGvz+wV5mDz+uxERbauw2QgaufJ6KXBkVdkc4KaI2Bu4KQ8DHAXsnV+zgAshNXaBs4GDgYOAsysNXrMSOp20U68YUzY+SfsCxwOvIm07/5HvNTEzMzNrt92BmyXdB9wJLIyI64AzgX+UtIR0T+vFefqLgZfk8n9k43G+WceN2niNiFuA1VXFxSxk1dnJLstZzW4jdUfYHXgzaUNZHRFrgIVs3iA26zhJU4BjgC/mYTH2bHzTgfkR8auI+AmwhHTSxszMzKytIuK+iDggIl4TEa+OiA/l8kcj4qCIeEVEvCMifpXLf5mHX5HHP9rZJTDbaLwJmwYiYmV+/zgwkN9vyE6WVTKX1SvfzGiZy6ozV5U1M1k3ZBfrhjpC2+v5SeD9wE55+CWMPRvfZOC2wjzHHe8AA9tvjHP/v5qrm+oKza2vpEuAtwCrIuLVuWxX4EpgEFgKHBcRa/JJmQuAo4HngZkRcXf+zAzgg3m250bEPMzMzMxaYMLZhiMiJDWtH/xomcuqM1eVNTNZN2QX64Y6QvvqKalyIL9IUuu/kMYy9X368ms5b3HaVMsU4/V0S1xBd9UVml7fS4HPAJcVyiq3hMyVNCcPn8mmt4QcTLol5ODCLSHTSM8MXCRpQe5hY1Ya+daNu4AVEfEWSXsB80knHBcBJ0XEryVtS9omXkdKUPPOiFia53EW6XaRF4C/j4gb278kZmb9bbzZhp/I3YHJf1fl8g3ZybJK5rJ65WZlcijwNklLSQc1h5GuNo01G5/j3UrPt4RYn3EuAzOzHjDeK6+VLGRz2Tw72WmS5pPOzq+NiJWSbgQ+WkjSdARw1virbdZ8EXEWOS7zldf3RcSJkr5KyrY3n9rZ+L5PIRufpAXAVyR9AtiDdLXqjjYuitl4deyWkEa08zaRfu5S3mrtrmshl8FHSMlpKrkM/iJPMg84h9SjYHp+DymXwWeqcxkAP8mJbA4i7f/NrAGDxd6Sc4/pYE2sm43aeJV0BTAE7CZpOamL2FzgKkmnAI8Bx+XJbyDdE7WEdF/UuwEiYrWkD5MynAF8KCKqz/ibldWZwHxJ5wL3sGk2vi/lg5jVpLPyRMQDkq4CHgTWA6fmh4ObdY123xLSiHbeJjJSF+0yHoB1Uxf4DtT1k5Qsl8FENXIipxtOaLiOZjZWozZeI+KEOqMOrzFtAKfWmc8lwCVjqp1Zh0TEMDCc3z9KjWzBEfFL4B11Pv8R0ll+s27yhKTdc4+ZRm8JGaoqH25DPc0aUtZcBhPVyImcbjih4Tqa2ViN955XMzPrPcUH01d3kT9ZySHkW0KAG4EjJO2Sbws5IpeZlYVzGZiZ9RA3Xs3M+lC+JeT7wD6SlufbQOYCb5L0CPDGPAzplpBHSbeEfAF4L6RbQoDKLSF34ltCrGQi4qyImBIRg6RbO74bEScCN5NyFUDtXAZQyGWQy4+XtG3OVOxcBmZmHTDhR+WYmVn38S0h1uecy8DMrAu58WpmZmY9z7kMzMy6n7sNm5mZmZmZWem58WpmZmZmZmal58armZmZmZmZlZ4br2ZmZmZm1hKLV6xlsPBsYrOJcOPVzMzMzMzMSs+NVzMzMzMzMyu9nnpUTrFLwtK5x3SwJmZmZmZmZtZMvvJqZmZmZtajJE2VdLOkByU9IOn0XL6rpIWSHsl/d8nlkvQpSUsk3SfpwM4ugdlGbryamZmZmfWu9cDsiNgXOAQ4VdK+wBzgpojYG7gpDwMcBeydX7OAC9tfZbPa3Hg1MzMzM+tREbEyIu7O758FHgImA9OBeXmyecCx+f104LJIbgMmSdq9vbU2q62n7nk1MzMzM7PaJA0CBwC3AwMRsTKPehwYyO8nA8sKH1uey1YWypA0i3RlloGBAYaHh2t+58D2MHu/9ZuU1Zq2OE29eXWbdevW9cyyjFWrlr1nG6+V5E1O3GRmZmZm/U7SjsDXgDMi4hlJG8ZFREiKscwvIi4CLgKYNm1aDA0N1Zzu05dfy3mLN21yLD1x82lnFhOv1hjfjYaHh6m3Xnpdq5a9ZxuvZmZmZmYGkrYmNVwvj4iv5+InJO0eEStzt+BVuXwFMLXw8Sm5rGn8hBAbL9/zamZmZmbWo5QusV4MPBQRnyiMWgDMyO9nANcWyk/OWYcPAdYWuhe3xeCc6zdp4JpV+MqrmZmZmVnvOhQ4CVgs6d5c9gFgLnCVpFOAx4Dj8rgbgKOBJcDzwLvbWts6fLXWwI1XMzMzM7OeFRG3Aqoz+vAa0wdwaksrZTZO7jZsZmZmZmZmpefGq5mZmZmZmZWeG69mZmZmZmZWel17z6szkJmZmZmZmfUPX3k1MzMrGJxzPYtXrPVJUjMzs5Lp2iuvZmZmZmbW3Xyi0MbCjVczM+sJfgagmZlZb5tQt2FJSyUtlnSvpLty2a6SFkp6JP/dJZdL0qckLZF0n6QDm7EAZs0iaaqkmyU9KOkBSafn8jHHtKQZefpHJM3o1DKZmZmZmfWKZtzz+oaI2D8ipuXhOcBNEbE3cFMeBjgK2Du/ZgEXNuG7zZppPTA7IvYFDgFOlbQvY4xpSbsCZwMHAwcBZ1cavGbdwCcmzczMrIxakbBpOjAvv58HHFsovyyS24BJknZvwfebjUtErIyIu/P7Z4GHgMmMPabfDCyMiNURsQZYCBzZviUxawqfmLSe4F41Zma9Y6L3vAbwbUkBfD4iLgIGImJlHv84MJDfTwaWFT67PJetLJQhaRbpAIiBgQGGh4c3+cJ169YxPDzM7P3WN1TB6s+3S6WeZdYNdYTO1FPSIHAAcDtjj+l65bW+Z8R4BxjYng3x7v9Xc3VTXaHj9Z0ODOX384Bh4EwKJ3GA2yRNkrR7YZsx67RKr5q7Je0ELJK0EJhJOiEzV9Ic0gmZM9n0hMzBpBMyBxd61UwjHf8skrQgn6Q0M7M2mGjj9fURsULSy4CFkn5YHBkRkRu2DcsN4IsApk2bFkNDQ5uMHx4eZmhoiJkNZiZbeuLQqNO0QqWeZdYNdYT211PSjsDXgDMi4hlJG8aNJ6ZHMlq8A3z68ms5b3HaVDsVz2PRLXEF3VVXaGt9235ishHFk5a1Pj/a+LF8T+WkUSu/p5m66URMu+ua43Zlfv+spGKvmqE82agnZPK0CyNiNUBuAB8JXNG2hTEz63MTarxGxIr8d5Wka0j39z1ROeued/ar8uQrgKmFj0/JZS3l7JM2FpK2JjVcL4+Ir+fiscb0CjYeEFXKh1tZb7Mma/uJyUYUT1rWOpEz2vixfM/s/dZz3uKtWvo9zdRNJ2I6Wdd29Kppxoma0TRyAqUbTmi4jjZRPs7vP+NuvEraAdgin8XcATgC+BCwAJgBzM1/r80fWQCcJmk+qRvOWncrszJRusR6MfBQRHyiMGpMMS3pRuCjhSRNRwBntWMZzJqhG05Mmo1Vu3rVNONEzWgaOYHSDSc0XEcbjZ8Ba9UmkrBpALhV0g+AO4DrI+JbpAP8N0l6BHhjHga4AXgUWAJ8AXjvBL7brBUOBU4CDstZVu+VdDRjjOncpezDwJ359aFKNzOzspO0Q74vkMKJyfvZeBIHNj+Jc3JOcnMIPjFpJTRSr5o8vtFeNT5RY2bWQeO+8hoRjwKvrVH+FHB4jfIATh3v95m1WkTcCqjO6DHFdERcAlzSvNqZtc0AcE2+KrUV8JWI+JakO4GrJJ0CPAYcl6e/ATiadBLneeDd7a+yWX3uVWNm1jsmmrDJzMx6iE9Mto/v1WqbSq+axZLuzWUfIDVaGz4hExGrJVV61YB71ViXkHQJ8BZgVUS8OpftClwJDAJLgeMiYk0+2XMBaRt4HphZeYxg2dXqYjzavtX74e7jxquZmZn1LPeqMeNS4DPAZYWyyrO7G3pUVFtrazaCidzzamZmZmZmJRYRtwDVvQSmkx4RRf57bKH8skhuAyqPijIrBTdezczMzMz6y1gfFWVWCu42bGZmZmbWp8b7qKhGn2k8sP2mzyZuhk9fnvKrzd6vsekA9pu882bjG3lm8kT083OCW7XsfdV49U3ZZmZmZmYTf3Z3o880/vTl13Le4hI0ORY/B2zaBmjkmckT0c/PCW7VsrvbsJmZmZlZf/Gzu60rleA0iJmZmZmZtYKkK4AhYDdJy4GzGeOjoszKom8br5UuxO4+bGZmZma9KiJOqDPKz+62ruNuw2ZmZmZmZlZ6bryamZmZmZlZ6fVtt2EzMzMzM+svxaeP1Cr3LYXl5sarmZn1lX58bJoPyszMrBe427CZmZmZmZmVnq+8mpmZmZmZ0Z+9c7qJG69mZmZmZmZ1uEFbHn3feHUwmpmZmZmZlZ/veTUzMzMzM7PSc+PVzMzMzMzMSs+NVzMzsy63eMXaus8uNDOzzvC+ufn6/p5XMzMrB+cgMDMzs5G48WpmZmZmZlalWVdNfXK2edx4NTMzMzMza8BoDVo3TlvLjdeCSjA66MzMzMzMbKyKjdvZ+zU2XbHt4fbIyJywyczMzJpicM71E+pmN9HPm5lZb3Pj1czMrM+50Whm1rt6aR/f9m7Dko4ELgC2BL4YEXPbXYfR+KZqa4ZuiHWzZnCs949+/310rFs/cbx31lj2t+Ppatyt3ZPb2niVtCXwWeBNwHLgTkkLIuLBdtZjLGoFjm/UttF0Y6ybjYdjfWTdenBgm3OsWz9xvLdOrXbEeK6KtmI+3XDvbbuvvB4ELImIRwEkzQemA12xITQaEINzrmf2fuuZ2ednqPtcV8e62Rg41lukF69yVn4fhzpdkfFxrFs/cbyXSCse2dOs8e1u8La78ToZWFYYXg4c3OY6dMRYrtaOJzBG+8xElfXsS4n1bax3i+JJJsf1hDjWrV80Lda7/cRELxwTdPv/oA28bzdgfA3aWhfyoDnbmiJiwjNp+MuktwNHRsRf5eGTgIMj4rTCNLOAWXlwH+DhqtnsBjzZhupOVDfUsxvqCOOv554R8dJmV6YRjcR6Lh8t3qF7/k8V3VTfbqorjFzfjsR7k2O9THopNspmonV1rDemG2LCdRxZqY9jxhDr3fB/bhUve2MajvV2X3ldAUwtDE/JZRtExEXARfVmIOmuiJjWmuo1TzfUsxvqCN1TzyqjxjqMHu/QfcvfTfXtprpCaevbtFgvk5Ku67q6qb7dVNcqXRXr3bCeXcdSm/Axe0Ufr0MvewuWvd2PyrkT2FvSXpK2AY4HFrS5Dmbt4Fi3fuFYt37hWLd+4ni3UmrrldeIWC/pNOBGUtrtSyLigXbWwawdHOvWLxzr1i8c69ZPHO9WVm1/zmtE3ADcMIFZdLwrToO6oZ7dUEfonnpuogmxXtFty99N9e2mukJJ69vEWC+TUq7rEXRTfbuprpvosljvhvXsOpZYHx/HNJOXvcnamrDJzMzMzMzMbDzafc+rmZmZmZmZ2Zh1VeNV0pGSHpa0RNKcDtbjEkmrJN1fKNtV0kJJj+S/u+RySfpUrvN9kg5sUx2nSrpZ0oOSHpB0eknruZ2kOyT9INfzX3P5XpJuz/W5MicLQNK2eXhJHj/Yjnp2Qq04K6t68VZW9eKuzCRtKekeSdd1ui69TtJSSYsl3Svprk7Xp9pYfoM6rU5dz5G0Iq/fe/X/t3f30ZaU9YHvvz95UQJGQFwnXJp4UPvqkLQg6QsYs5wjKAK6bOcO4eJCaLjM6skEHBw7K7beudGomYWzfENNyBBpaRIiEsRLLyGSDnCu8SYgNCItoNIihO40tNpNQ+uIaf3dP+rZsDl99nnbL1V7n+9nrb1O1VN1qn5V+6na9dTz1FMRp9cZ4zCby7k3IiYiYlfb/v6jGuKc8Ziq6xqkbf2vbNs/90TEkxHx7inz1L4fh01Trtv7abq83bRr7V6az+/PTNsbESvL/A9GxMp5BZGZQ/Ghelj8+8DLgP2BbwFH1xTL64HjgG+3pf13YE0ZXgN8tAyfDvwtEMCJwB0DivFw4Lgy/ELge8DRDYwzgIPK8H7AHWX91wJnlfQ/B/5TGf594M/L8FnAF+vOm4PMZ039dMpvdcc1Q7zT5ru645ol5vcAfw18pe5YRv0DPAwcVnccM8Q359+guj8dYv0g8Ad1xzYKn7mce4GJus8bsx1TdV2DdIhlH+AxqvdONmo/DtOHBl2393k798rbTbvW7vH2dl0GAg4FHip/DynDh8w1hmGqeT0e2JyZD2Xmz4FrgBV1BJKZXwN2TEleAawrw+uAt7elX5WV24GDI+LwAcS4LTPvLsNPAQ8ARzQwzszM3WV0v/JJ4CTgug5xtuK/Djg5IqLfcdahQz5rpBnyWyPNkO8aKSKWAG8BPld3LKrfPH+DajVM57FhNGzn3hnUcg3SwcnA9zPzkZrWPyoac91eg0Zda/dSj8pAbwY2ZOaOzNwJbABOnWsMw1R4PQJ4tG18C806QY9l5rYy/BgwVoZrj7s0rX0NVe1S4+IszSHvAbZTZeDvA09k5p5pYnkmzjJ9F/DiQcSpuZmS3xprar7LzCbH+yngD4Ff1hzHYpHA30XExohYVXcwc9Tp3N5UF5VmZGub0sR52M1y7n1teUzibyPiNwYbGTD7MVX7tVKbs4AvdJhW934cJk36TvtpurzduGvtPpvv9na1H4ap8Do0sqoT73stTkQsjYifRcRfzTDPQcCXgHdn5pPt0wYV52wy8xeZeSywhOpO3avqjUgLNVN+62KZkyWf7y6f7/ZiuVPzXUT8Zi+W22sR8VZge2ZurDuWReR3MvM44DTgwoh4fb9X2Ja/W59fRMRnFrKsppzbZ3AZ8HLgWGAb8PFaoxkBs5x776ZqAnsM8Bng/xlweLD3MXVmRNwUETsj4jHgN6iamdYqqv413gb8zTSTm7Af1Tyz/V68CjgwInYBb6BqdjuyBvH7M0yF163AkW3jS0paUzzeqvovf7eX9H7G/afAnZ0mRsR+VD9mV2fm9TXGOSeZ+QRwG/BaqqYFrfcQt8fyTJxl+ouAHw8yTk2vQ37rlYsy86DyeWUvF9yW7+bcZGXAXge8LSIepmp2ddJMN6zUvczcWv5uB75MdVOt3+ts5e+DgF8D/ifTX0B30unc3jiZ+Xi5efRL4C8YwP4dZbOdezPzydZjElm9t3O/iDhskDFOc0z9MVUePZzqJsavAue3/Utd13inAXdn5uNTJzRhPw6Z2q8rB6HD78XjEXF4uU79CrCT6vnOW4E/ioj/tfz7qOyT+ZYtusobw1R4vRNYGlUvtPtTNetYX3NM7dYDrd6yVgI3tKWfW3rcOhHY1Va1vmARcRbwBHBLh+kBXAE8kJmfqCvO2UTESyLi4DJ8APAmqmd2bgPO6BBnK/4zgFvLXR7VaIb81kgd8t13ag2qg8x8X2YuycxxqvPerZn5zprDGlkRcWBEvLA1DJwCDLrH739P9eP/D/P4n07n9saZ8ozXv2Pw+3dkzOXcGxG/1uobIiKOp7r2G9hN3w7H1IHAtZn5s8x8DJikujE30GuQabyDDk2G696PQ6jp1+1dm+H3onU+fhVVwezKzPwFVQeku4Fzas7nvTbfssXNwCkRcUh5bOSUkjY32YCeq+b6oeq16ntUz0T+XzXG8QWqpk7/StVO+wKq5y5vAR4E/h44tMwbVDWk3wc2Act7sP5fLfthCVWvjX81zTy/Q1Vtfy9wT/mcPsg457gtrwa+WeL8NvBHJf1lwDeAzVS1D88v6S8o45vL9JfVnS8Hmc/qjmmGWKfNbz1a9iTwQ+BHwP8HTPQr3zX9g71dDmIfv4yqV8xvAffV8VtDdXf+gzNMn/NvUN2fDrH+ZfmduZfq4ubwuuMc1s8Mv/W/B/xemeeikpe/BdwO/PaAY9zrmAL+Y4nlXVTPun0buGnQ1yBT4jyQqjD6ora0xuzHYfzQkOv2Pm7ftL8XbefjR4A9PPda+1GqAmwt+bwH29yTMhDwf1Jdy28Gzp9PDFEWoCESEZcC/5KZH42IDwKvSGtiNKIi4gTgfuDnVHduPwscm5nfrzUwqQ8i4qVUrw14RWb+oO54pH6IiH8D/BVwDNWzruuoLmC9KNXIKE36v0tV4/pJqmdevwLclplvrjO2YTZMzYYFRMSxwBupDgJp5GXmHZn5VGY+nZnrqGpfT687LqlPzgG+bsFVoyoingd8FbieqrbzMKp3PX60zrikXsvMf6V6bcxbqHrhXQ1cS1VjqQXad/ZZ1DATwDjwz+XRi4OAfSLi6Kx6O5NGXVI1RZFG0bnAJXUHIfXRocCvA5/NzKeBpyPi88BHqF4JJo2MzLwX+Let8Yj4R559J6oWwJrX4XM5z75i4Fiqpgg3Ur3wVxopEXFwRLw5Il4QEftGxNlU3cx/te7YpF6LiN+mev5vPr0MS0MlM38E/AD4T+W8fjBVJy/31hqY1AcR8epyDfMrEfEHVD1sX1lzWEPNwuuQycyfZuZjrQ/VQ98/y8wf1h2b1Af7Ud2Nb3XY9C7g7Zn5vVqjkvpjJXB9Zj5VdyBSn/3vVK8n+yFVhy3/CvyXWiOS+uMcqg6OtgMnA28qLQ60QHbYJEmSJElqPGteJUmSJEmNZ+FVkiRJktR4Fl4lSZKkIRcRR0bEbRFxf0TcFxEXl/RDI2JDRDxY/h5S0iMiPh0RmyPi3og4rm1ZK8v8D0bEyrq2SZrKZ14lSZKkIRcRhwOHZ+bdEfFCYCPVe0bPA3Zk5iURsQY4JDPfGxGnU3WEeDpwAnBpZp4QEYcCdwHLqV5PtxH4rczcOfCNkqaw5lWSJEkacpm5LTPvLsNPAQ9QvX5rBc++W3QdVYGWkn5VVm4HDi4F4DcDGzJzRymwbqDqHVqq3b51BzCTww47LMfHx/dK/8lPfsKBBx44+IDmwNgWph+xbdy48UeZ+ZKeLrSPOuX3YdPkfNaNpm/XMOX3QeT1Jn5fTYwJmhnXTDGNQl5v4j6fifH2T7/yekSMA68B7gDGMnNbmfQYMFaGjwAebfu3LSWtU/rUdawCVgEccMABv3XkkUdOG8svf/lLnve8xV1f5j6odNoP3/ve9+ac1xtdeB0fH+euu+7aK31ycpKJiYnBBzQHxrYw/YgtIh7p6QL7rFN+HzZNzmfdaPp2DVN+H0Reb+L31cSYoJlxzRTTKOT1Ju7zmRhv//Qjr0fEQcCXgHdn5pMR8cy0zMyI6Mkzg5l5OXA5wPLly7PTeX2Yvo9+cR9UOu2H+eR1bwFIkiRJIyAi9qMquF6dmdeX5MdLc+DWc7HbS/pWoL26dElJ65Qu1c7CqyRJkjTkoqpivQJ4IDM/0TZpPdDqMXglcENb+rml1+ETgV2lefHNwCkRcUjpmfiUkibVrtHNhudrfM2Nzww/fMlbaoxEqkfrGDD/axh5Dpe0WLTOd1ee2tNnc18HnANsioh7Str7gUuAayPiAuAR4Mwy7SaqnoY3Az8FzgfIzB0R8WHgzjLfhzJzRy8DXWw2bd3FeV6j9cRIFV4lSYJnLxS8SJAWl/E1N7J62R4m6g6kBpn5dSA6TD55mvkTuLDDstYCa3sXndQbNhuWJEmSJDWeNa+SJEmSpJ5rfySoF83krXmVJEmSJDVeV4XXiDg4Iq6LiO9ExAMR8dqIODQiNkTEg+XvIWXeiIhPR8TmiLg3Io7rzSZIkuYjIo6MiNsi4v6IuC8iLi7p8z5/R8TKMv+DEbGy0zqlupjfJWl0dFvzeinw1cx8FXAM8ACwBrglM5cCt5RxgNOApeWzCrisy3VLkhZmD7A6M48GTgQujIijmef5OyIOBT4AnAAcD3ygVQCQGsT8LkkjYsGF14h4EfB6qvdJkZk/z8wngBXAujLbOuDtZXgFcFVWbgcObr0wWZI0OJm5LTPvLsNPUd14PIL5n7/fDGzIzB2ZuRPYAJw6uC2RZmd+l6TR0U2HTUcBPwQ+HxHHABuBi4Gx8oJjgMeAsTJ8BPBo2/9vKWnb2tKIiFVUdzoZGxtjcnJyrxXv3r172vTVy/Y8Mzzd9EHoFFsTGJukqSJiHHgNcAfzP393Sp9uPbOe23t5Dh87oFpek84rTT3PNTGufsU0qPwuSeqPbgqv+wLHAe/KzDsi4lKebXIDVO+Pioicz0Iz83LgcoDly5fnxMTEXvNMTk4yXfp57S+4P3vv6YPQKbYmMLaZRcSRwFVUFzAJXJ6Zl5amYl8ExoGHgTMzc2dEBFXT+dOpXu59XuvufnkW6r+WRX8kM9chNUxEHAR8CXh3Zj5ZZenKQs7fM5nLub2X5/DPXH0DH9+0b22/BdNpwnluOk2Mqx8xDSq/d3MTvqmGKd7Vy/YwdkB9lRhz1bpZN0z7VmqCbgqvW4AtmXlHGb+OqvD6eEQcnpnbSjOb7WX6VuDItv9fUtKkpmg9F3V3RLwQ2BgRG4DzqJ6LuiQi1lDl8/fy3OeiTqB6LuqEtueillMVgjdGxPrSzExqhIjYj+pC/urMvL4kz/f8vRWYmJI+2c+4pYUYZH7v5iZ8Uw1TvOetuZHVy/ZwZsPjbd2su/LUA4dm30pNsOBnXjPzMeDRiHhlSToZuB9YD7R64FsJ3FCG1wPnll78TgR2tTXXWbDxNTc+85G64XNRWixKq4ErgAcy8xNtk+Z7/r4ZOCUiDikd15xS0qTGML9L0ujopuYV4F3A1RGxP/AQcD5VgfjaiLgAeAQ4s8x7E1Xzys1UTSzP73LdUt806TnA+Wg1Q6qzCdKoNoEase16HXAOsCki7ilp7wcuYR7n78zcEREfBu4s830oM3cMZAukuTO/S9KI6Krwmpn3UDWNnOrkaeZN4MJu1tet9trZhy95S42RqMma9hzgfLSaIdX5nN8wNS+bj1Harsz8OhAdJs/r/J2Za4G1vYtO6i3zuySNjm7f8yqNlJmeiyrT5/pclM93S5IkST1k4VUqfC5KkiRJaq5un3mVRonPRUmSJEkNNbKF19bzrT7bqrnyuShJkiSpuWw2LEmSJElqPAuvkiRJkqTGs/AqSZIkSWo8C6+SJEmSpMaz8CpJkiRJajwLr5IkSZKkxrPwKkmSJElqPAuvkiRJkqTGs/AqSZIkSWq8fesOQNLMxtfc+Mzww5e8pcZIJEmSpPpY8ypJkiRJarxFW3gdX3Pjc2q0JEmSJEnN1XXhNSL2iYhvRsRXyvhREXFHRGyOiC9GxP4l/fllfHOZPt7tuiVJkiRJi0Mval4vBh5oG/8o8MnMfAWwE7igpF8A7CzpnyzzSZIkSZI0q64KrxGxBHgL8LkyHsBJwHVllnXA28vwijJOmX5ymV+SJEmSpBl129vwp4A/BF5Yxl8MPJGZe8r4FuCIMnwE8ChAZu6JiF1l/h+1LzAiVgGrAMbGxpicnNxrpbt3734mffWyPXtNb9f+/9PNO93yu9EeW9MYmyRJkqRhteDCa0S8FdiemRsjYqJXAWXm5cDlAMuXL8+Jib0XPTk5SSv9vFk6XXr47Gf/f7p526f3QntsTWNskiRJkoZVNzWvrwPeFhGnAy8AfhW4FDg4IvYtta9LgK1l/q3AkcCWiNgXeBHw4y7WL0mSJElaJBb8zGtmvi8zl2TmOHAWcGtmng3cBpxRZlsJ3FCG15dxyvRbMzMXun5JkiRJlYhYGxHbI+LbbWmHRsSGiHiw/D2kpEdEfLq8BeTeiDiu7X9WlvkfjIiV061Lqks/3vP6XuA9EbGZ6pnWK0r6FcCLS/p7gDV9WLckSZK0GF0JnDolbQ1wS2YuBW7h2evv04Cl5bMKuAyqwi7wAeAE4HjgA60Cr9QE3XbYBEBmTgKTZfghqsw+dZ6fAb/bi/UBjM/yrKskSZK0WGTm1yJifEryCmCiDK+jul5/b0m/qrSCvD0iDo6Iw8u8GzJzB0BEbKAqEH+h3/FLc9GPmldJkiRJ9RvLzG1l+DFgrAw/8xaQovWGkE7pUiP0pOZVkiRJUnNlZkZEz/qbmcvrLcHXIQKMHfDsKzsX275of1VpL/KChVdJkiRpND0eEYdn5rbSLHh7SW+9BaSl9YaQrTzbzLiVPjndgufyekvwdYgAn7n6Bj6+qSp29fo1nU3X/qrSK089sOu8YLNhSVqE7JVSi4V5XYtc+9s+pr4F5NyS508EdpXmxTcDp0TEIeW4OKWkSY1g4VWSFqcrsVdKLQ5XYl7XIhARXwD+CXhlRGyJiAuAS4A3RcSDwBvLOMBNwEPAZuAvgN8HKB01fRi4s3w+1Oq8SWoCC69SG+/Qa7HIzK8BUy9IVlD1Rkn5+/a29KuycjvQ6pXyzZReKTNzJ9DqlVJqDPO6FovMfEdmHp6Z+2Xmksy8IjN/nJknZ+bSzHxjqyBa8viFmfnyzFyWmXe1LWdtZr6ifD5f3xZJe/OZV+m5rgQ+C1zVlta6Q39JRKwp4+/luXfoT6C6Q39C2x365UACGyNifbngkZqsb71SzqVjj/ZOHbrt0KHVOUaTOsZoaqclTYxrADHZA6skDSELr1Ib35EmVXrdK+VcOvZo79Sh2w4tWp1jNKljjKZ2WtLEuAYZUx09sDbxhsFMhine1cv2MHZA83t0bd2sG6Z9KzWBhVdpdkNTG9WEbthH9Yd4VLdrir71Sik1TK09sDbxhsFMhine89bcyOpleziz4fG2btb1ovdVaTGx8CrNQ9Nro1rz1lnbNEwXOfMxqts1RatXykvYu1fKiyLiGqom8rvKRf/NwH9r67jmFOB9A45ZWgjzuiQNIQuv0uysjdLIKb1STgCHRcQWque0LwGuLT1UPgKcWWa/CTidqlfKnwLnQ9UrZUS0eqUEe6VUA5nXJWl0WHiVZucdeo2czHxHh0knTzNvAhd2WM5aYG0PQ5N6yrwuSaPDwqvUxjv0kiRJUjNZeJXaeIdekiRJaqbn1R2AJEmSJEmzsfAqSZIkSWq8BRdeI+LIiLgtIu6PiPsi4uKSfmhEbIiIB8vfQ0p6RMSnI2JzRNwbEcf1aiMkSZIkSaOtm5rXPcDqzDwaOBG4MCKOBtYAt2TmUuCWMg5wGrC0fFYBl3WxbkmSJEnSIrLgDpsycxuwrQw/FREPAEcAK3j2HZfrqN5v+d6SflXp5Ob2iDi49e7MhYc/u/E1N/Zz8c9Z/sOXvKWv65IkSZKkxaonvQ1HxDjwGuAOYKytQPoYMFaGjwAebfu3LSXtOYXXiFhFVTPL2NgYk5OTe61v9+7drF72i16EPu3y52P1sj3PWdbu3bu7Xma/GJskSZKkYdV14TUiDgK+BLw7M5+MiGemZWZGRM5neZl5OXA5wPLly3NiYmKveSYnJ/n413/STdjPePjsZ5ffqkWdTw3qee01r2dPMDk5yXQxN4GxSZIkSRpWXRVeI2I/qoLr1Zl5fUl+vNUcOCIOB7aX9K3AkW3/vqSk1arfzYolSZIkSd3rprfhAK4AHsjMT7RNWg+sLMMrgRva0s8tvQ6fCOzq9/OukiRJkqTR0E3N6+uAc4BNEXFPSXs/cAlwbURcADwCnFmm3QScDmwGfgqc38W6JUmSJEmLSDe9DX8diA6TT55m/gQuXOj6JEmSJEmLVzfveZUkSZIkaSB68qocScPF9xNLkiRp2FjzKkmSJElqPAuvkiRJkqTGs/A6D+NrbvS9sJIkSZJUAwuvfWaBV5IkSZK6Z4dNDWanOpIkSZJUsfA6C2tNJUmSJKl+Fl57aHzNjaxetoeJugORGswWBZIkSVoIn3mVJEmSJDWeNa8LYFNiSZIkSRosC6/TsHAqSZIkSc1is+Ga+SodSZIkSZqdNa8DYic1kiRJkrRwFl77YCE1qRZuJUmSJKmzgTcbjohTI+K7EbE5ItYMev2jYLamxjZFboZRyOutvGR+0kxGIa/32/iaG9m0dZfH0pAzr2sxMb+riQZa8xoR+wB/CrwJ2ALcGRHrM/P+QcZRt9kuXqabPltat7W10y3fGuCFM6/3XiuPmi+bxbw+eB4L9ehlXt+0dRfn+T2qwTy3q6kGXfN6PLA5Mx/KzJ8D1wArBhyDNAjmdS0W5nUtFosur7da3mzauqvuUDR4iy6/azgM+pnXI4BH28a3ACcMOIaRNJfa2tXL9jxzp3e+y5zuzvBstbXT1Q50qnVuxTZCd6AXXV5vfberl+1hogFxwMw1GvNpuTC+5sY55dF+PLs+BM/DL7q8PiqacswOEfO6FhPzuxopMnNwK4s4Azg1M/9DGT8HOCEzL2qbZxWwqoy+EvjuNIs6DPhRn8NdKGNbmH7E9tLMfEmPlzknc8nrJX0u+X3YNDmfdaPp21VLfm9wXm/i99XEmKCZcc0U0yjk9Sbu85kYb/80Lq9DT6/ZYbi+j35xH1Q67Yc55/VB17xuBY5sG19S0p6RmZcDl8+0kIi4KzOX9z687hnbwjQ5tgWaNa/D3PL7sBnB7xIY3e3qgUbm9SZ+X02MCZoZVxNjood5vaHb15Hx9k+DY+3JNTs0ehsHxn1Q6cV+GPQzr3cCSyPiqIjYHzgLWD/gGKRBMK9rsTCva7Ewr2sxMb+rkQZa85qZeyLiIuBmYB9gbWbeN8gYpEEwr2uxMK9rsTCvazExv6upBt1smMy8Cbipy8U0uZmlsS1Mk2NbkB7l9WE0ct9lMarb1bWG5vUmfl9NjAmaGVcTY+plXm/k9s3AePunsbEu4vzeD+6DStf7YaAdNkmSJEmStBCDfuZVkiRJkqR5G7rCa0ScGhHfjYjNEbGmAfE8HBGbIuKeiLirpB0aERsi4sHy95ABxbI2IrZHxLfb0qaNJSqfLvvx3og4robYPhgRW8u+uyciTm+b9r4S23cj4s39jE29Md2xMKzmcyypWSLiyIi4LSLuj4j7IuLiumNqiYh9IuKbEfGVumMBiIiDI+K6iPhORDwQEa+tOyaAiPgv5bv7dkR8ISJeUHdMvdLk/DmdiHhBRHwjIr5V4v3jumOaTdOOs5mM0u/mdKb7LV1shu2Y74den0eGqvAaEfsAfwqcBhwNvCMijq43KgDekJnHtnX9vAa4JTOXAreU8UG4Ejh1SlqnWE4DlpbPKuCyGmID+GTZd8eWZyso3+lZwG+U//mz8t2r+aYeC8PqSuZ+LKlZ9gCrM/No4ETgwob8TgBcDDxQdxBtLgW+mpmvAo6hAbFFxBHAfwaWZ+ZvUnUUc1a9UfVUk/PndJ4GTsrMY4BjgVMj4sR6Q5pV046z2YzK7+Z0rmT6a7/FZNiO+X7o6XlkqAqvwPHA5sx8KDN/DlwDrKg5pumsANaV4XXA2wex0sz8GrBjjrGsAK7Kyu3AwRFx+IBj62QFcE1mPp2ZPwA2U3330kDM81hSg2Tmtsy8uww/RXURe0S9UUFELAHeAnyu7lgAIuJFwOuBKwAy8+eZ+UStQT1rX+CAiNgX+BXgX2qOp2eamj87KdcIu8vofuXT2M5SmnacLXbzvPYbScN2zPdDr88jw1Z4PQJ4tG18C/VngAT+LiI2RsSqkjaWmdvK8GPAWD2hzRhLU/blRaXZ8tq2ZphNiU3zM92xMEqadFxrDiJiHHgNcEfNoQB8CvhD4Jc1x9FyFPBD4POlieXnIuLAuoPKzK3Ax4B/BrYBuzLz7+qNqj8alj87Ks1w7wG2Axsys8nxfopmHWezGfXfTbUZlmO+H3p5Hhm2wmsT/U5mHkfVDPfCiHh9+8SsunNuxF3KJsVSXAa8nKoJwTbg47VGo27NeCyMkgYeS5oiIg4CvgS8OzOfrDmWtwLbM3NjnXFMsS9wHHBZZr4G+AkNaApfbmKuoCpc/y/AgRHxznqj6r0m5c/ZZOYvMvNYYAlwfET8Zs0hTauhx9lsFs3v5mI3TMd8P/TyPDJshdetwJFt40tKWm3KXWIyczvwZarmrY+3muCWv9u7WUdEXBQRd0XE0xFxZVv6/qWzjYcjIiNiYpp/7xRL7fsyMx8vmfmXwF/wbNPg2mPT/HU4FuZlhrx+YukkaUdE/DAi/qafzdw76Olxrf6JiP2oLhKuzszr644HeB3wtoh4mOpxl5NK5xXT5fWjS/rO8vn7Pj0ftQXY0nb3+zqqwmzd3gj8IDN/mJn/ClwP/HbNMfVUA/PnnJRm5bfR3GcYpzvO/qrekGbWi99NNd+wHvP90IvzyLAVXu8ElkbEURGxP1UnDuvrCiYiDoyIF7aGgVOAb5eYVpbZVgI3dLmqfwE+AqydZtrXgXdSNWOcTqdY1gPnRuVEqqZZ26ZbQL9MKXz8O6p914rtrIh4fkQcRdWp1DcGGZvmZ4ZjYb465fVDqF5sPQ68FHgK+PxC412gXh/X6oOICKrnOB/IzE/UHQ9AZr4vM5dk5jjV79atwCVMn9f/BTgDOBQ4jCrfXdOHmB4DHo2IV5akk4H7e72eBfhn4MSI+JXyXZ7McHW+M6Mm5s+ZRMRLIuLgMnwA8CbgO7UG1cF0x1lmNrbWvoe/m2qwYTvm+6HX55F9exTXQGTmnoi4CLiZqgfCtZl5X40hjQFfrvIl+wJ/nZlfjYg7gWsj4gLgEeDMblbSuksTEcupaiFb6T+ner6DiPgF8H9T9cJ8WERsAT5AdYE0XSw3AadTdYb0U+D8bmKcTUR8AZiYEttERBxL1fzyYeA/lu26LyKupbqQ2gNcmJm/6Gd86tq0x8J8FzJDXv/b9vki4rPA/9tNwDPpkF87HUtqltcB5wCbyvM1AO9v9WbeFDPk9SeAJ8q0AH4BvKJPYbwLuLrcDH6IPv8OzEVm3hER1wF3U53/v0l142pUDEX+bHM4sC6qHv+fB1ybmY1/Bc2Q6MnvZpNN91uamVfUG9XADdsx3w89PY9E9eiWhkFEfARYkpnnTTNtC/DOzJwcdFxSr82U18v0dwNnZWbTX9kgzahTXo+IJ4CDqH7o/ygzPzL46CRJapahqnmVpIh4NfBHNPM1WVJPZObBpSnhSqqafkmSFj0Lr5KGRkS8Avhb4OLM/Ie645H6KTN/EhF/DvwwIv5N6dRFkqRFa9g6bJK0SEXES4G/Bz6cmX9ZdzzSgDwP+BV817UkSda8DoOI2Jfqu9oH2CciXgDsKR1YPR+IMuv+ZdrT6cPMGkKd8jpVxxa3Ap/NzD+vMUSpJ2bI628AfgTcCxxI1SPxTkaox11JkhbKDpuGQER8kKq303Z/nJkfLO8ze+mUaUdl5sMDCE3qqU55napH6g8CP2mfkJkHDSQwqcdmyOv3AR+m6oH4f1K9Jux9mXnvQAOUJKmBLLxKkiRJkhrPZ14lSZIkSY1n4VWSJEmS1HhdFV4j4uCIuC4ivhMRD0TEayPi0IjYEBEPlr+HlHkjIj4dEZsj4t6IOK43myBJkiRJGnXd1rxeCnw1M18FHEPVG+Ia4JbMXArcUsYBTgOWls8q4LIu1y1JkiRJWiQW3GFTRLwIuAd4WftrWSLiu8BEZm6LiMOBycx8ZUT8jzL8hanzdVrHYYcdluPj4wuKr1s/+clPOPDAA2tZd9MM677YuHHjjzLzJXXHMVd15ve5GLZ8MEzx9iLWYcrvnfL6MH1nYLz9NFOsw5TXJUm91c17Xo8Cfgh8PiKOATYCFwNjbQXSx6jezwjVC9Yfbfv/LSXtOYXXiFhFVTPL2NgYH/vYx7oIceF2797NQQf5Fg4Y3n3xhje84ZG6Y5iP8fFx7rrrrrrD6GhycpKJiYm6w5izYYq3F7FGxNDk9055fZi+MzDefpop1mHK65Kk3uqm8LovcBzwrsy8IyIu5dkmwgBkZkbEvKp2M/Ny4HKA5cuXZ10/tMP0I99v7gtJkiRJdevmmdctwJbMvKOMX0dVmH28NBem/N1epm8Fjmz7/yUlTZIkSZKkGS248JqZjwGPRsQrS9LJwP3AemBlSVsJ3FCG1wPnll6HTwR2zfS86zAbX3PjMx9JzbSYj9OIeEFEfCMivhUR90XEH5f0oyLijtIr/BcjYv+S/vwyvrlMH29b1vtK+ncj4s3dxLVp665F+51IkqTZddvb8LuAqyPiXuBY4L8BlwBviogHgTeWcYCbgIeAzcBfAL/f5bqlgfG1UBoxTwMnZeYxVOfuU8tNxY8Cn8zMVwA7gQvK/BcAO0v6J8t8RMTRwFnAbwCnAn8WEfsMckMkSdLi0VXhNTPvyczlmfnqzHx7Zu7MzB9n5smZuTQz35iZO8q8mZkXZubLM3NZZja3Zxppb74WSiOjnI93l9H9yieBk6geAQFYB7y9DK8o45TpJ0dElPRrMvPpzPwB1c3J4/u/BZIkaTHqtuZVGnnltVCvB64AyMyfZ+YTPPeCfuqF/lWlgHA7cHDrOXCpKSJin4i4h6pfgg3A94EnMnNPmaXVIzy09RZfpu8CXkznXuQlSZJ6rpvehqXFoi+vhYK9Xw01OTnZj/h7Yvfu3Y2Ob6rZ4l29bM8zw3VvVx37NjN/ARwbEQcDXwZe1c/1zSWvjx3w7PdS93cyF6N2TDTJMMUqSRocC6/S7PryWqjyf414NdRcDNsrk2aL97y2ToEePrvzfINQ577NzCci4jbgtVStBPYttavtPcK3eovfEhH7Ai8Cfsw8epGfS17/zNU38PFN1c9S3d/JXIzaMdEkwxSrJGlwbDYszc7XQmmkRMRLSo0rEXEA8Caq57hvA84os03tLb7Vi/wZwK2ZmSX9rNIb8VFUz3l/YyAbIUmSFh0Lr9IsfC2URtDhwG2lp/g7gQ2Z+RXgvcB7ImIz1TOtV5T5rwBeXNLfQ2l5kJn3AddSHQ9fBS4szZElSZJ6zmbD0ty0Xgu1P9Urn86nuvlzbURcADwCnFnmvQk4narn1Z+WeaXGyMx7gddMk/4Q0/QWnJk/A363w7L+BPiTXscoSZI0lYVXaQ4y8x5g+TSTTp5m3gQu7HdMkiRJ0mJis2FJkiRJUuNZ8ypJ0xhv7434krfUGIkkSZLAmldJkiRJ0hCw8CpJkiRJajwLr5IkSZKkxvOZ1x5qf0ZOkiRJktQ71rxKkiRJkhrPwqskSZIkqfEsvEqSJEmSGs9nXiUNFd+/KkmStDhZ8ypJkiRJajwLr5IkSZKkxuu62XBE7APcBWzNzLdGxFHANcCLgY3AOZn584h4PnAV8FvAj4H/IzMf7nb9w8KmjpIkSZK0cL2oeb0YeKBt/KPAJzPzFcBO4IKSfgGws6R/sswnSZIkSdKsuiq8RsQS4C3A58p4ACcB15VZ1gFvL8Mryjhl+sllfkmSJEmSZtRtzeungD8EflnGXww8kZl7yvgW4IgyfATwKECZvqvML0mSJEnSjBb8zGtEvBXYnpkbI2KiVwFFxCpgFcDY2BiTk5O9WvS87N69e97rXr1sz15prWW0T6trmxZqIftCWiifD5ckSdJ0uumw6XXA2yLidOAFwK8ClwIHR8S+pXZ1CbC1zL8VOBLYEhH7Ai+i6rjpOTLzcuBygOXLl+fExEQXIS7c5OQk8133eW0X3S0Pnz2x17RW2rBYyL4YRXZOplEREUdS5dExIIHLM/PSiDgU+CIwDjwMnJmZO8sjHpcCpwM/Bc7LzLvLslYC/7Us+iOZuQ5JkqQ+WHCz4cx8X2Yuycxx4Czg1sw8G7gNOKPMthK4oQyvL+OU6bdmZi50/aNifM2Nz6lpUqPZOZlGxR5gdWYeDZwIXBgRRwNrgFsycylwSxkHOA1YWj6rgMsASmH3A8AJwPHAByLikEFuiCRJWjz68Z7X9wLviYjNVDVSV5T0K4AXl/T38OxFkdR4dk6mUZKZ21o1p5n5FNVNmSN4bt6dmqevysrtVC1sDgfeDGzIzB2ZuRPYAJw6uC2RJEmLSdfveQXIzElgsgw/RHUHfuo8PwN+txfrk2rwKarOyV5YxufcOVlEtDon+9HAopXmKCLGgdcAdwBjmbmtTHqMqlkxtOXpopXfO6VPt55Z+zMYO+DZ/gGG4Tn7YesPYJjiHaZYJUmD05PC62K2kCa/NhMeLv3qnKwsuxEdlM3FoC4mZ+vcbK6dn80Wb6/W0wt1XahHxEHAl4B3Z+aT7Q0EMjMjomePdsylP4PPXH0DH99U/SwNQ98Aw9YfwDDFO0yxSpIGx8KrNLu+dE4GzemgbC4GdTE5W+dmc+38bLZ4e7WeXqjjQj0i9qMquF6dmdeX5Mcj4vDM3FaaBW8v6a083dLK71uBiSnpk/2MW5IkLV79eOZVGil2TqZRU57BvgJ4IDM/0TapPe9OzdPnRuVEYFdpXnwzcEpEHFI6ajqlpEmSJPWcNa99ZhPhkfZe4JqI+AjwTZ7bOdlfls7JdlAVeLWItc4DDXpv7euAc4BNEXFPSXs/cAlwbURcADwCnFmm3UT1mpzNVK/KOR8gM3dExIeBO8t8H8rMHQPZghq1vs/Vy/Y8p9pZkiT1l4VXaR7snEyjIDO/DnTqAfvkaeZP4MIOy1oLrO1ddJIkSdOz2bAkSZIkqfEsvEqSJEmSGs/CqyRJkiSp8Sy8SpIkSZIazw6bGqK9V+IG9UgqSZIkSY1gzaukOdm0dRfja2709U+SJEmqhYVXSZIkSVLjWXiVJEmSJDWehVdJkiRJUuNZeJUkSZIkNZ69DUsaKa0OpVYv28NEvaFIkiSphyy8NlDr4ttX5miY+LonSZIk9ZPNhiVJkiRJjWfhVZIkSZLUeBZeJUmSJEmNt+DCa0QcGRG3RcT9EXFfRFxc0g+NiA0R8WD5e0hJj4j4dERsjoh7I+K4Xm2EJEmSJGm0ddNh0x5gdWbeHREvBDZGxAbgPOCWzLwkItYAa4D3AqcBS8vnBOCy8nfotHdMI0mSJEnqvwXXvGbmtsy8uww/BTwAHAGsANaV2dYBby/DK4CrsnI7cHBEHL7Q9UuDYisDjaKIWBsR2yPi221p887TEbGyzP9gRKysY1skSdLi0JNX5UTEOPAa4A5gLDO3lUmPAWNl+Ajg0bZ/21LStrWlERGrgFUAY2NjTE5O9iLEedu9e3fHda9etmcgMdS17VPNtC8WiUXbykAj7Urgs8BVbWlrmEeejohDgQ8Ay4GkOjbWZ+bOgW2FJElaNLouvEbEQcCXgHdn5pMR8cy0zMyIyPksLzMvBy4HWL58eU5MTHQb4oJMTk7Sad3nDajZ8MNnT7/+QZtpXywG5WbMtjL8VES0tzKYKLOtAyapLvSfaWUA3B4RB0fE4W03dRYl31/cLJn5tXLjsd288nSZd0Nm7gAoN3VOBb7Q7/glSdLi01XhNSL2oyq4Xp2Z15fkx1sX6uXiZntJ3woc2fbvS0qaNDR62cpgsWp/ZrzfBVkLzPM23zzdKX0vc2lVM3bAsy1bmtzaoxXj2AHNjnOqYWpFM0yxSpIGZ8GF16iqWK8AHsjMT7RNWg+sBC4pf29oS78oIq6hana2a7HXRGm49LqVQVlmI5rJz8VsBYv25vSzTZ/rfN1M72W8003ftHXXM8PLjnjRXtOnW1an77eJF+oLzdMzLG/WVjWfufoGPr6p+llqSsuT6bRa36xetoczh6hVyjC1ohmmWCVJg9NNzevrgHOATRFxT0l7P1Wh9dqIuAB4BDizTLsJOB3YDPwUOL+LdUsD1a9WBk1pJj8XsxUs2pvTzzZ9rvN1M331sj09i3ch06ebt9N8DbpQn2+e3sqzzYxb6ZMDiFOSJC1C3fQ2/PXMjMx8dWYeWz43ZeaPM/PkzFyamW9sPQtVehm+MDNfnpnLMvOu3m2G1D9zaGUAe7cyOLf00HoitjLQLDZt3dWUV3DNN0/fDJwSEYeUnolPKWmSJEk915PehqURZysDjZyI+AJVrelhEbGFqtfgeeXpzNwRER8G7izzfah1w1KSJKnXLLzOQ0NqRjRgmfl1IDpMPnma+RO4sK9BSV3KzHd0mDSvPJ2Za4G1PQxNkiRpWhZeR8Qge3CVJEmSpEGz8NpgFkglSZIkqbLgDpskSZXxNTf6WIEkSVKfWXiVJEmSJDWehVdJkiRJUuNZeJUkSZIkNZ4dNg0JO2+SJEmStJhZeJUEeINEkiRJzWbhdRbD3IOohRFJkiRJo8LCa5tWYW9YCnrDXLCWJEmSpPmw8DqELLRKkiRJWmzsbXiRGF9zo4VeSZIkSUPLwqskSZIkqfFsNjyN8TU3snrZHs6zplKLgDXykiRJGgbWvEqSJEmSGs/CqyRJkiSp8Ww2PIJsBqp2w/YKKEmSJGk6Fl7VUavQs3rZHibqDUVatNpvRnkDQpIkLWYDL7xGxKnApcA+wOcy85J+rq/Thd9irY3qVCvb2g/W2vbOoPO6VBfzuiRJGoSBFl4jYh/gT4E3AVuAOyNifWbeP8g42llYq8y2HxZrYX+hBpnXrZlTnZp4XpckSaNp0DWvxwObM/MhgIi4BlgBzPsiZ7rC1mwX7hZU+8PC07T6ktfdv2qgnuV1SZKkmURmDm5lEWcAp2bmfyjj5wAnZOZFbfOsAlaV0VcC3x1YgM91GPCjmtbdNMO6L16amS+pY8VzyeslvSn5fS6GLR8MU7y9iLWW/N7jvD5M3xkYbz/NFGtt53ZJUr0a12FTZl4OXF53HBFxV2YurzuOJnBf9E9T8vtcDFs+GKZ4hynWhZpLXh+2/WC8/TNMsUqSBmfQ73ndChzZNr6kpEmjxryuxcK8LkmSBmLQhdc7gaURcVRE7A+cBawfcAzSIJjXtViY1yVJ0kAMtNlwZu6JiIuAm6leqbA2M+8bZAzzMBRNOQfEfTFPQ5bX52rY8sEwxTtMsT5Hj/P6sO0H4+2fYYpVkjQgA+2wSZIkSZKkhRh0s2FJkiRJkubNwqskSZIkqfEsvE4REWsjYntEfLvuWOoWEUdGxG0RcX9E3BcRF9cdk+av0/cYEYdGxIaIeLD8PaSkvyoi/ikino6IP5iyrFMj4rsRsTki1rSlHxURd5T0L5aOe4iI55fxzWX6+IDjfTgiNkXEPRFxV1t6p2VFRHy6xHtvRBzX41jPLsvdFBH/GBHHDHLfNtUwnXeH7bwYES+IiG9ExLdKvH9cd0yziYh9IuKbEfGVumORJDWLhde9XQmcWncQDbEHWJ2ZRwMnAhdGxNE1x6T56/Q9rgFuycylwC1lHGAH8J+Bj7UvJCL2Af4UOA04GnhHW374KPDJzHwFsBO4oKRfAOws6Z8s8w0k3jZvyMxjp7wzstOyTgOWls8q4LIex/oD4N9m5jLgw5ROaQa4b5vqSobnvDts58WngZMy8xjgWODUiDix3pBmdTHwQN1BSJKax8LrFJn5NaqL4UUvM7dl5t1l+Cmqi4kj6o1K8zXD97gCWFdmWwe8vcyzPTPvBP51yqKOBzZn5kOZ+XPgGmBFRARwEnDd1GVNWcd1wMll/kHEO5Npl1XSr8rK7cDBEXF4D2P9x8zcWdJvp3onKgxo3zbVMJ13h+28WPLy7jK6X/k0tqfGiFgCvAX4XN2xSJKax8Kr5qQ0SXwNcEfNoagLU77HsczcViY9BozN8u9HAI+2jW8paS8GnsjMPVPSn/M/ZfquMv8g4oXqIv3vImJjRKxqS++0rE7b2I9YLwD+dpb19m3fqnvDcl4szXDvAbYDGzKzyfF+CvhD4Jc1xyFJaiALr5pVRBwEfAl4d2Y+WXc8WpiZvses3pnVqNqYHsX7O5l5HFVz3Asj4vVTZ+jFts831oh4A1Xh9b3drFf1GabzYmb+IjOPparpPz4ifrPmkKYVEW8FtmfmxrpjkSQ1k4VXzSgi9qO6QLs6M6+vOx4tTIfv8fFWk9jyd/ssi9kKHNk2vqSk/Ziqee2+U9Kf8z9l+ovK/IOIl8zcWv5uB75M1Tx3pmV12saexRoRr6ZqErkiM1v7YmD7Vt0b1vNiZj4B3EZzny9+HfC2iHiYqun8SRHxV/WGJElqEguv6qg8P3cF8EBmfqLueLQwM3yP64GVZXglcMMsi7oTWFp6v90fOAtYX2oWbwPOmGZZ7es4A7i1zN/3eCPiwIh4YWsYOAVo9WbbaVnrgXNLr8MnArvamv92HWtE/DpwPXBOZn6vbf6B7Ft1b9jOixHxkog4uAwfALwJ+E6tQXWQme/LzCWZOU51DNyame+sOSxJUoOE1zrPFRFfACaAw4DHgQ9k5hW1BlWTiPgd4B+ATTz7/NH7M/Om+qLSfHX6Hqme07sW+HXgEeDMzNwREb8G3AX8apl/N3B0Zj4ZEadTPZO2D7A2M/+krONlVDUlhwLfBN6ZmU9HxAuAv6R6LnAHcFZmPjSIeKmO4S+X/98X+Ou2eF/cYVkBfJaqZuqnwPmZ+cwrdnoQ6+eAf1/SAPa0ekEexL5tqmE67w7bebHU9K+jylfPA67NzA/VG9XsImIC+IPMfGvNoUiSGsTCqyRJkiSp8Ww2LEmSJElqPAuvkiRJkqTGs/AqSZIkSWo8C6+SJEmSpMaz8KraRMTaiNgeEd+ew7yvj4i7I2JPRJwxZdrKiHiwfFZ2WoYkSZKk4WXhVXW6kuqVJHPxz8B5wF+3J0bEocAHgBOA44EPRMQhvQtRkiRJUhNYeFVtMvNrVO+nfEZEvDwivhoRGyPiHyLiVWXehzPzXp59r2LLm4ENmbkjM3cCG5h7gViSJEnSkNi37gCkKS4Hfi8zH4yIE4A/A06aYf4jgEfbxreUNEmSJEkjxMKrGiMiDgJ+G/ibiGglP7++iCRJkiQ1hYVXNcnzgCcy89h5/M9WYKJtfAkw2buQJEmSJDWBz7yqMTLzSeAHEfG7AFE5ZpZ/uxk4JSIOKR01nVLSJEmSJI0QC6+qTUR8Afgn4JURsSUiLgDOBi6IiG8B9wEryrz/W0RsAX4X+B8RcR9AZu4APgzcWT4fKmmSJEmSRkhkZt0xSJIkSZI0I2teJUmSJEmNZ+FVkiRJktR4Fl4lSZIkSY1n4VWSJEmS1HgWXiVJkiRJjWfhVZIkSZLUeBZeJUmSJEmN9/8DUnBAFj+KbyMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1152x864 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "source": [
    "plt.subplots(figsize=(16,9))\n",
    "correlation_mat = data1[cont_features].corr()\n",
    "sns.heatmap(correlation_mat,annot=True)"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "metadata": {},
     "execution_count": 13
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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W2R/zWZ/peEcGESnbqfecsRxc+hOr75jL/rd+pPcc6R1KruTx/T0LSer/LBlLfyDmjceJXvwYZ+5fxIm+T+M3shfapo7+z5SRx6VpK8irx/8BhM8eS+nBWu0ohYJWr07g8LjX2N17BiGjetTx4+Hj4jAXV7Cr2zNc/nAjze38eLv3pnBq5ifs6TuTg6MWYDVLBw2pfdwpv5jJbxEPsm30Ito/N6bed+ry6gQOzfyY9T2n4xEVRIjsU+3LVHbCGVrJ7QxTUQVHX/iSMx9uJOKOTuy4/3V+6TeL4N6t2PfEe2waNJff4udRbTChctXctjZBwuMrQOoMtgN+BH6qN0JO/hb80zuHKkEQVguCcFYQhB8EQdAJgpAqCMJrgiAkAmMEQXhMEIQjgiAkCYLwoyBIR+sJgvC5IAjvCoKwXxCEFEEQRsvXBUEQVgiCcF4QhG1AwO184U7t2uDl6XFbZCkbN8eafRVrbhZUV2PetwNNp551wmnvewTj+jWI5uufWujZoTGGyzkY03IRzRZy1u3Hb0hnhzD+QzqR9d1uAHJ/OYhPL6nR49Y0jKKE0wCY80upLq3As100CAIgoNS5AKBx11KRUzPbEzW4I+d+TAAg53gyLp5u6AK8HXTqArzRuGvJOZ4MwLkfE4iO7wRA6wcGkrI1kZLUbErT86jIKSJ9/UHC4h1HfsPiO3L5e6lRcWXDYYJ6tbJdT19/EGtVNRVX8ihPzUHfPgbPJiEUHE/GYqhCtFjJPXCW8KGSLZo/OJDK7CIufSdVHld3nkTj5Ya21ntrA7xRe2jJS5Te+9IPCTQaIr135p7TiPLpi7mJyeiC9QAU/p6GIaeYiPiOnPvPNlSuGgpOp90W+X7tYyi+cJX8xGSsZgsp3+5B7a5FoalZPBAW34GU76V4pW84TKBsp/D4jqTZ2aksNQff9jEYc4spOpUKQHWFkZJLmba4iKKI2l1qKGk8dChdNVz6QUrrvMRkNJ7XiZN7rTjJaW0urzlxTqV1AdHxALHmgzty4ifp3TOOX8LVQ4e7v6P8a/fK84rrXK8PffsYylNzqEjPw2q23FTeshhM5B++gEWeibJHpXOh+aShXN2aiLXKjEEuc1nr9hMop+E1Aod0IuM7SX72L4fwk+X79Yul7Ew6ZWekmTxzUTlYRXSNAqi4nE2VPNuQv+c0+qHdAXBv3xhjaham9BxEczUF6xPwie/ioM+UkUfl2TSw3txoaUR8R5Lt0/c6eVZjl2eTf0ggQo5vyaVMSpPr3ybh1z6G8ss5+HZrTsa6A2SsO0BQrXQIiu9EulwmMzccwr9XzYKS4CGdqEzPo+x8hsMzglKJ0lWDoFSg1Gow50idAl27JphSs6mS7VT0y168BjvaqSojF+O5NMRadhJFEYWLGkGtQtCoENQqzPnFAPi0b0zF5Rwq06X0vlpPPILjO3HFLh5+vf58YUy1XDb0nZpiMZioyiu5bT689NglECUfXnLsIipPLZXZjjP2AEWn02wzCvYotS50e/sxhvz6CkO3LCQsvkO9cQiP70iKHO+KDVvQ9uuJplVzqnPzEY0mqK6mcutOtH17ODxnOnYC0WQCoOrUWZQB/gCooxphOn4SLFZEo5Gqi5dx7e5oC4DTabmE+3kR5ueFWqUkvn0Tdp26fB1Lw6bEiwzp2BSA5OxCLFaR7s2kgQOdiwat3YncUYM7ct6uftPcQP12/scEouIdfUBtqg0mRLMFU24xljIDotlC9rr9BNTyHf5DOpEp+46cXw6hl30HoohK5yLle1cNVnM11WWVDs/69m6DKb+EskuZVKTnIZotXFl/kJBa+TVkSEfSZB1XNxwmQJ55Kj6dhjGnGIDS8xkoXTUoNCrcIgIoT6nxT+kJp2kxqgdnZTtly+0At1p2cpPtlC3b6eyPCcTIdhJFEY3cKXfx0NnaGFnHLmIqkeJVduwCLhGBGFKzbf4vf30C+njHPFHj/+oeUOkWG43Gz4vi3UkO193bN6bycrbNj2euO1CPH+9Yy49L5e56fhxAo/cgd+txAPL/wKeqPbTkyz718g8JhMu67ctUynd7bddNBaUUJKWg9fPCWFROuVy/pa0/SLicvoG9W1Gelot/12a3rU1ghwDcA6ypY+S/I1Zrw/79Tfmndw6bAe+LotgCKAWuTYUUiKLYQRTFb4CfRFHsLIpiW+As8Ijd88FAL2AY8Kp8bZQstyXwIOBYG/2NUOj9sRbUjNRaC/MQfP0dwiijmqDw9ac68WDtxx1wDdJjzCyw/TZlFuAS5OMQxiVYj+mqFEa0WKkuq0St96DsTBp+8Z0QlApcI/zxiI3GJcQXsdrC+dkf03XXG/Q6uRKfpqGc+WaXTZ57kA/ldjrLswpxr6XTPciH8qzCesN4RwcR0qUpfq0aMer7uQS0jaYyqxBtsKMMbZAPlZmFtveuKq1Eo3dHG+xDpZ3+yqxCdEF6Ss5l4N+lGRofd5RaDSH926ELkRycZ3QQntFBtJ02gjt+mItf22gqsgrR1XpvXZAPlXbvXVlPGIAm9/UhY+fJOs96RAZQcDpVcr63Qb4uyIeKzJrwroHemIrKsdodh24fRrRYMZdW4iLbyf7ZyqxCtLV0uYX5oW/dyFZJHXz5K7rMG8u9h5fR5YWxVFwtoKKWrd1qywjyocIuTrXj3XHWGO49vIzGo3qQ+KbjMj/PQD0ldvJLswvxrMcef0TLOzrzxKYl3Pv+NDyD9eiC9HXyx43mrT+izawxnFu5EY2nDmt1zWZ3Q2YhLkGOFalrsB6jXZkzlxlQ6z1wiwkGETp/8zw9ty4heoo0KlxxOQe3mGC04f4ISgVBd3TCJdQXAE2QL1V28anKKkBTt+K+LgoXDa03vU6rX17FZ4hjZ0nKOzWyr5dn/yh9r4cuyAdDZgFhI7qRsW4/xqxCtLXeWxsshYEa36TRe6DUudBk6nDO1covxuwiLn3wK/HHljPk5PuYSw2U7T0BXLNTTUenKqsAdaDvn74nQGXiecr2n6L10c9oc/RzSncfx3RJ6pS62r0jgCGrENfg2uldfzwAdBH+9N26mJ5rX0DftZnDc93XPEe3NbOpLjeQ+4vk62+3D+95bAXVZUaS1+y6IVsAtJk2gpyEM/x250tsHb2YDvPGotS61Ann6ueJIbcYAGtBIUq9D0p/P6xFxWjatCRw9Sp0g+NQx0RdV5fbiDsw7pc+IVF1MRnX7p0RXFxQeHni2qktqsC647y5JeUE+dSU10Bvd3JL6v+kSWZhKZmFpXSRVw+k5RbjodXw7KebuPeNb3l7/T4sdo09t1r1W8V1fF55rTJhH6b1Q4O4d8ti4t58DBcvncNz5uKa9zTegO+oln1Hzi+HqK400ffkSvokriD1gw1UFzvGOWhUd0qPJ2O46phfa/t9bZAPhlp1Rm3/F3pnF4pOSXVZeWo27jEh6ML8EJQKYgZ3xNXHg7Isu3ZA9nXaAXYzuvZhdr/yFb3njOXRg8voM28sCa99S20Cxw6g8kwaVVfty3UhmqAbK9cIApEvPUTq/LrbA1yC9A7l2phZgGut96/rxyttflwURbp88xy9ti62+XGQlqKGj+tHr+1LaPP0SCoy67e/fTvAPox9mTLkFuPq5+nwrNrdFbNdXrev3yJHdCd13YHb2iawozeQA1ysY0wnfxv+6Z3DK6Io7pP//xVSRw/A3ju0FgRhryAIp4D7gVZ299aJomgVRfEMcO1Df32ANaIoWkRRzAR2XE+5IAgTBUE4KgjC0Y+/+BsOgggC2oemYPjigwZVk/X1TkxZBXTesoSmCx6i5MgFRKsVQaUkdPwgDg94joTYxyk4m07HqXfdNr0KlQKNTsvlrcfZt2gNQ96felvkll7K5Oz7vxC35jn6rZ5N0e9ptpk4hVKBQqVi/+xPObJwDf1W/nWdsU/dhVhtJeWnfQ7X1W6uNH9gAPvtlo7dTvneTUNpdFc3cvafvSX511DpXOj98TSOvfiVbRajxYMDOPTKar7tMo1DL69G3yL8T6T8Ocde/55vu0zj0tr9tJgw6Jbl2XN+WyJv93qa9+94nuSEU/zrrcdvq/xreLdqhHtkABm/Hb0lOYJSiU/XZpx4YgUH7nqJwKGd8e3dmuqSCn6f/QntV02j288vU3klz5Z3b5XELpM4fccsLk15h8hXHsalUcN/G/UaLr4eVBtMlJ3L+PPAdjSfeTeXVm3EUmlyuK72ciN4SEe2dJnGb22noNK54DOq7y2/p6ZREK6Nw/m96yOc7vIwHj3a4Nal5S3LNeUUs6XjU+weNIfTL31Fp/enSntNZQ6MfZWkGR8hKBTob2C2sTZ/5sPPzfoEU1YR+VuP0erJG/fhwX1b02rqMIZuXcSgH+eidFXjFnoDDXJ5ZYC1pJSsu8aSc/9EjAeP4dqza73BdXcMRNOiKaVffgeA6dAxDPsOEfDpu/gumofp1BnEWzx1cHPiJQa2jUGpkJpNFquV4ylZPHtXD1Y/O4arBaX8fPjcLemw5/SX21jd61m+jZ9LZW4xPV64/7bI9WofAxYru9tOZm/np4h8/E60jWo6zoJaif/gjpQcvfW2u2fTUNrMu4/EWZ8AYC6p5Phzn9Ltwyfpt+5FSjPy66wCuVliHxjA7vmr+bjbNHbPX83gNx5zfIcerQkYN4C8n3b/ZR1B44dQtD2RKruO2O1AoVSg79qM40+8x/67XiZoaCd85dnXktOpJD35AQfuegX/rs3QBnjdkq4bNbNCrSR0cAfSfzn0l3XV1yawYyz/lFlDQBStDfr3d+UfeyCNTO3sfu23/TDY58BIURSTBEEYj3TqzzXsWww3/XFO+++TNPSHMuvDWpiHwm6mUKH3R7SbSUSrQxkehfvLS6X73nrcZy+i/LW5dQ6lMWYX4hpSU2m7hPhiqrV8yJRViEuoL6asQgSlApWHDnOhtDzk4os1B0R03DAfQ3IW7q0jATCk5QBwacMh+i6aQMxQadYhNykFdzud7sF6ymvpLM8uwt1udN0+THlWEanbjxM1uAO5J1IQRRGPmCAMWY4yDNlF6EL0GOT31njqqCosx5BVhM5Ovy5YT6U8OpmyZjcpa6TKJPa5e3BvFMCQrYtxC/Uj59A53EJ8ubz+AKJVxD3Ur85Sq8rsIoflFJLsmjCN7+lN+MD2/HaPtHer+UMDaXp/HAqVErdgPb+v2kRZmnSwglutZ/+K/MrsItxC9OiC9fT/5GkyNh2tswzsWphrdlJ76jDJdnILcdRlkHUJKiW9P55G6k/7ubKppsPTZHRvSpKzGLl5EQBqDx1utWxdUStOFdlFuNnFqb54AySv3U/8FzPoUlhKx7FxAFxNSsHLTr5nkJ7Sep69HobimgM0jn2zk8HPjeVSdmGd/HGjeet6+HVsjD42muGHlqJydUHtqaPrTy9y6F/z0YboMdXa72TMKsQ11BfjtTTx0GIuLMOYVUDhgbO28pe37QSebSIp2Hua3C2J5G5JBCD8gQG4itLS1qrsAjR28dEE+95UY8csv5spPYfS/acJmXo37u1iaIqC/BMpDul7vTx7I+lbm8rsIrxaNSL1S2mczjVYsrc9hqwitCE1dlJ56KgqLMOnfWNCh3Wl9QvjUHvqEK0iFpMZU14Jlem5tuVtmRuPENG5OUVrd8t28nOwkzmngBvBe0h3Ko6fx1ppBKB0VyJuHZpRcfgMRvkdr6EN1mPMqp3e9ccDwFol5auSk5epSMvBPSaI4qSaJZCV6flYKoz4DelE4Z5Tf9mHh00YTOMX70fbKACrqRqlzpXo2WM4MfZVXAK8CXpq5A3ZAgBBYM9j79ZZMtz9nYn4tG6EIbuInQ+8iTG/FG2AN4bcYhS+eixFxVjy8lHofRANki2tpaUgiii8PLGWlNpkuXTpgOeEceROehbMNcu4yz77mrLPpD2/+gVzqE6rO7AQ4OVOtt0BaTnF5QR4udUbld+OX+T50X1svwO93WkW6keYn9Roj2sTjWt0O1x6juSe30bUqd/cruPz3GuViWthDPk1cTzz9U6Gfj7d4Tm1d817uv6B76hJa8l3BM0cTf6OJMRqC1X5pRQfOY9n22gMcn3jN6AdpadSKb+Qge+I7jZ5Wju/fw1DdhHaWnXGNf+nDdbT/dNnOPLUSipk2QBZW4+jC/Uj6v44mg7rSmVBKR7Bdu2AoOu0A+xmRu3DtLy7t+1wmgsbDjHwtUdt4fyah9P4rcmcuX8hKh8P/Eb2tt3TBOupyr6xcu3RqSmeXVsQNH4ISjdXBLUKS4WR9MVfYcouRG+Xzq4hvhhrvX9dPy6VO0NWIYUHztnKYFVhOe1WPIEpv5SSEyloQ30pOnye1LX76fTKv+u1v307wC2kJo3sy5Q2wBtTQanDs+ZyI2q7vH6tfgvp35aiU6kY80tva5tARgX8C+hY+4aTvxf/9JnDCEEQrnmvcUBCPWE8gCxBENRIM4d/xh7gXkEQlIIgBANxt+dVbz+WS+dRBIehCAgClQp1z/5UHa05NY/KCkoeGUHplPsonXIf1RfP1NsxBCg7nowuOgjXCH8EtZLAkT3I3+xYsPM3HyX4Hml0PWB4N4rkk7MUWg0KeV+hvk8bxGorFReuYsoqxK1pGGpfaVlUeO82pO8+ybdD5vLtkLmkbD5G87ulyd7A9jFUlVVSKS+DsEUht5iqcgOB7WMAaH53Ly5vOQZAyuajaAO88YoMIrRHSxRqFaGDOpAh37/G1S2JRI2RKvXwYV1sJ35lbDlGxIhu0l6IcH88ooIolPc0uMgnzulCfQkf2pkjsz/lt0FzOLpoDeZyA41H98IzOgi1myum4nLb8o1rGHKLMZcZ8O8gvXfj0b1I3yy9V2i/WNpMHsa28W9jMUr7QM/9Zxu/jV6EaLFw9rMt+HdoDIB/hxiqSitvWX7+iRQ8Y4KJXzObxNe+x69jYzLkDoS9naLHSJVnxLAu5CScke2USKNadiqQ7dTtrUcpvZjJuVWbHNMtp4iiC1dZFz+XQ/O/pvxqPo1H97LFyVx2nTiVO8YpTU5Lz6iaWapG8R0oTs7i8JdbbQfInNtylHb/kt49rH1jjGWGG95bCDjsT2w+qCN5yZkUnkjBIyoIt3B/FGolESO63XDeuh6XvtjO+g5T+aXr02y96yXEaisnn/4AQa0keGQPcjY7ys/dfIyweyT5QcO7UiDLz9t5Eo8WESi00p45fY8WlF+QvnurkZcPqbzcaDR+ELlfbwOg/MQlXKOCcQkPQFCr8B3Ri6ItR27IPkovNwR5f6pK74F75+Zkr/qZU4Om8/PguaRvPkaMXfpeL89W2eXZGLs8+0fkJ13GNVhPweHzCGolYSO7k10rHbK3HCPiHin9Q4Z1JX+fZKeEkfPZ0nkaWzpPI/mj37jw7nouf7oFQ0Y+Ph2boNRqpHfu3QqjvPyzMukiLlHBaGQ7+QzvTcnWwzdkp6rMPDy6tQalAlRK3LvVyC0+kYxbdBA62ceGXice4fXEQ+PrAQpp/FIXEYBbVBAVabkodS64yPuQSk5dxjUiAHNB6S358MrkLEqTLnOw17OYC0rxbBvNhTmfYUjJQt+3DSUXM2/IFgBZu07R7OGaWX6f1tKBaQeeWcXGQXPZ+cCbgORjouV4uw0bjGH3fqrOnEMdGYEyRKrf3IYPQawyOXQM1U0bo3/+GfKnv4C1qLhGsUKBwksqB+rG0WiaRGM8VHe2vlVEAOn5JVwtKMVcbWHz8Yv0lQc17bmcU0RppYm2kUEOz5YZTBTKMyOHL2aQf+Ywpn1r+G7IXC5vPkazm6zfmtnVb/b7E6OGdKLQbs9sblIKLv7eKN21CGolQSN7kFurLOVtPkaI7DsCh3elUE5r49UC2/5Dpc4Frw5NqLhUk6ZBo3qSvXYfpceTcY8KQhcu5dfwEd3IqqUja3MijWQdocO6kCvrUHvq6PnlDE4t/oaCIxccnnHx9ST5863sHr0QQ1E5Jz7fSgvZTkGynSpq2alCtlOQbKcWd/ciWbZTeU4RYd1aABDesxXFqdkAeIT4MnzV01x88l2MKVmUn7iE1s7/+Y3oReHmG1vBcXHKMo51epzELpNJfeUL8r7fTfriryT9Jy7hFh2EVi7XISO71/HjObX8eL6DHw+3+XGlq5pT0z9m3+C55Cf8TuiY3ggqJVGje/1hO8BP9qlRo3txRdZtX6ai7+ltu36NyuwiXPUetvqt0YhuUl0/UlpSCre3TSAzEDgH3NwSkP8l/0f3HAriLU7p/6+QP2XxG3AUaRTiDPCA/G8nURTz5XCTgVlAHnAI8BBFcXztT1QIglAuiqK7IAgCsBwYBKQDZuDTP/uUxY3OHM586VWOHD9JcXEpvnpvnnjkAe4eHv+nz5VPfrje66r2XdGNnwoKBVU7N2H86Stc752AJfk8ZvuOIuD+8lIMX3xQb+cwcU8gvgPa0XTBQ6BUkLVmF6lL1xI9awylSSnkbz6GwkVNyxVT8WgTibm4nNOTlmFMy8U13J9238wBq4gpu5Czz6zEKM9KhT44kPDHhmKtrib/agHbn12F0W6Wps/Ch2jUL5ZqQxXbp68iVz7C/t7fFvHtkLkABMRGMeDtidJR3zuT2CMfY69QKxnw5kSCuzRF5++Nsaic5M+3cubd9bSZeTeFSZe5uiURhYua7u9Oxqd1I6qKK9g3eTkV6dIMa8unRhB9X19Ei4XEF78iSz4RbsDaF3Dx8cBqrub4K6ttjf4qjYpeb00ktH8sap0rlTlF7Jy03Hb0/l1bFvHzYOm9fWOj6P3ORJSuGq7uTOLgPOm97054C6WLyvZJj7zESxx47jPaThtBm6nDKb2cg1uwHrW7K2Vpuex5auVtkd972SRi/tVT+kRGUTnG/FKy9/5O7sFzNjv1ePdx9K0jMRWXs2/yCsplO7V66i5i7uuLaLFy7MUvydx5Ev8uTRm87kWKzqRzzY8kLfmOzB1JeHVtSrdXHkBQKbCYzOyf8zlN7+1LWL9Yqo1V7H12FflynEZuXsS6eClOfrFR9HlbilPGriQOyHHqv+opvKOl/RnlGfnse/4zzuY7jpTfOX88TfrGSp+ymPkhmfLBEpM3LuaDoXMAGPzcWNqM6IFHoDdlOcUkfruTnUt/YuCse2k+sANWiwVDcQW/zPsU/7NZBPdvS4dXHkBQKkj5ZvdN5a3hh5baDv0xl1Syc+yrlF68antftzA/Bv44D7GqGpQKMtbsJHnpOprMGkNJUgq5cplru2IKnnKZOz7pXdsIf8jdvYh5agQAuduOc36BNEvSbuWTeLSUGuGX3v4R0y81y6m8+3eg0SsPIygV5H6zncx3fyRs5n1UJCVTtOUIbm0b0/ST2ai83aRj8vOKOBn3NO6dmhH92uOIVhFBIZD18Qby1mwH4Jx0xhddFz1EaL9YLIYqEp5ddd0828suzx6S0zdiSCe6LnwQV70HVaWVFP6extb7XwcgqHsLei4Zj6BQICgVpK3ZxYVl62k+azTFJ1LIltOh44on8GrdCHNxBUcmLacyvWa2AqD5jLuprjDaPmXRfObdhN7VHdFioeRUKgXPL5XSAvCM60joS49In7L4djs5K74n6NlxVJ66ROnWw+hiGxP10fMovdwRTVWY84o5N/BJ6aTTRZNw79IKESjblcjVBdLy8PQqNwIGtKPNfCk/pV8nHh3s4nFUjkfwnZ1pPmsMorka0Spy7o0fydmaiIufJ12/molCo0ZQCJjScnBrHApK4bb48OZvTyJoVE9bx9RqMrO2x3SqisqJ+3IGB2d8jCGnmGaPDKbl5GFoA7ww5peSuSOJgzM+RumqptMrD+DXqQmCQqA8PY9dD71FbTQ+7vRe+SRuob5o8q9S8PwCrKVleM9+Cve7hgJgKSyiYO4CXLt3oerseYx7DuD/3uuoY6KxFEgzQJbsXPKnvwAaNUFffii9c0UFRa8uxXyhZu+T3/wRtv/vPZPKG2sTsFpFRnRtwWODO/H+xkO0jAigX2tpj+MHmw5TVW1h2vCamTSAA+ev8Pa6fYiItAgL4MV7+6FWKflsojSY0HvhQ0TI9duO6avIk8vEPb8t4ju5fvOPjaK/XL+l70xir1y/DVj6OH6tGkmfWsnIZ/dzn9o6l//e/w46b3eUbi6IVpErn27m/AtfECOndZ6c1q3tfMdJ2XcodS60WjZZOlFTEMj8Zhep728ApM5i72MrSOjyFNVlBnQDO9BWzq+p3+zm3LL1tJx5N0VJl8mS82uX5ZPxlv3foccl/9f86ZE0f3I45Sk5NXa+71VMBaV0eX8K3q0k/7R32Vou/HKQuAUPESnbacuMVeTIdrp/0yJW3yHZKTA2isFvSXZK3ZnETnmmO6RzU/q9/AAKpYJqk5kd8z4n91QqA197lCZDO2O5IvkB0WIh/fVviZo/AUGpIOebHVxd9iPhM++jPOkSRVuO4t42hmaf2vu/Yk70e9ohzf3vicO9bYzDpyxUcV1ouUD6lEXGml1cWrqOprNGU5x02ebH2614wpYWiZOW2/x4qM2Pi+RuO8G5BV+j1LnQfd2LaMP9UblrqSo3sPPfb1BwIgWAoVsXsXGQZBd9bBQ9lko+NXNnEkfmflGnTFVczZc+ZVFcgau/F3dsWoDaQ4ugEFC6qKnMLODS17s499FmRp9+n4PPfkTa+oO3tU0AcH/mV/8BDgK3/h23/xJVGacatJOkCWtz06sW/xv8YzuHfzcaelnp9TqHt4vEPQ2/f+is3UluDYWvpWHzs1H4W5bjm0bTwMXe+F9Yk5CmathItLj+4b63DS/Lre2DuhH0yoaNyLXOYUPifZv2Tf4RjTT1H0Ryu0ivqn+54u3EXWz4/JSlbFg/3je0/lNrbyf2ncOG4FrnsCFpbHeYWENRqmjYr4FdUTd8fdrVXGfP222nyKppWPnKhv8q23+jZXN/5lf/uAZU1ZWkhu0chrf9W9rkn76s1IkTJ06cOHHixIkTJ06c3Ab+6QfSOHHixIkTJ06cOHHixMnt5RZPOf6n4pw5dOLEiRMnTpw4ceLEiRMnzpnD20VD7wl0/+DWvnn3Z/QBLnZ9skF1XKy6uY+S/xWsDbxyXmdt+D26Db+7oOGxiA2/jL5RdcPqqFRAjNn05wFvgRxFw+5VAQhRN+zepHCj+c8D3SKeqobfAOrq0sDx+C/sYXVTNnxaWIWG3XPo0bThfaxl164Gld/W3PDj7tb/wk4lcwMryVU0fCTE/0JdZPr/4CwC5+kj1+Fv/C3ChsQ5c+gEaPiOoRMn/zQaumPoxIkTJ06cOHHyd8M5c+jEiRMnTpw4ceLEiRMn9vyNv0XYkDhnDp04ceLEiRMnTpw4ceLEiXPm0IkTJ06cOHHixIkTJ07sEf+P7jn8P905FAThcaBSFMUv/iDMy0C5KIpv/hUdqnZd0E2YCgolpu2/Ylr3db3h1F374D5jPqWzJ2FJOf9XVNmYt/ht9uw7jN7Hm3VfrfxLMtz6dCTohYkISgVF326h4MPvHe7rHx6Jzz3xiBYLlsISMmcvxZyZB0DEZ/PRtmtG5dEzXHnsFYfner7yABH921FtMLHz2VXkn06to9uvTSRxb09C5aohfccJ9r30pcP92Il30OOF+/k89nGMReW0ffxOuj53L2K1BVNxORe/2M7pd9bZwis0Knq8+zj6NlGYispIeHwFFRn5ALSaOpyYsf0QrVaOzvuCrN2nAFB76uj25qN4NQ8DUeTgsx+Rf+wSbV8YS/jI7rj6eiJWWzj3wa/8/tZPDu+n0Kjo+u5kfGIjqSoqZ/+k5VRm5BPYpzWxc+9DoVZhNVeTNP9rcvedAaDNc2OIHN0btbcbBx9bRrv5DyAoFVz+ehfnV/xSR35nO/kHZfk+7aLp+MajUiABzrz1E5mbjgLQ8e3HCB7UHlN+KVvjniMwLvYv6Qjo05o2dnE4Of9r8uQ4hN3VjfaLx6Py0GIurWTb/a9TWE/66ttE0vOdSShdNVzdcYIjL0rpq/F2o88HU3EP96f8Sh57Hl9OVUklrR6/k6h/9ZCipVTg1SSU72Ino9G5MOznl9D6eiGKVs58tpUjC9fU0efbJpI+70j56cqOExyU9XWeN5aIge2xmqspTctl77OrqCqtRKFW0vPVRwiJjQSrlUvzPqN4/xn0ce1ovHACglJB1urtpC9f56DHq1sLGi8Yj3vLRpyZtJS8DQdr8uyauXh2bELJ4XOc+vertutBcbG0l9Mh5etdnKsnHerLSxofd3p8NA19u2hSv91D4tz/2J6JGNmdFk+NAFHEkFNE/jOvYykqA8CjbwdCX3oUQamk4Jst5H7wo4M+ty6tCH3pUbTNI0l98g1KNu633Qt+7iE8+3cCIOfdbynekFCTpnFtabpwPIJSQebqHaQtX+8gV9CoaLViCh6x0ZiLyjg9cRnGK3kIaiXN35iIZ7toRKvIhXmfU7xfyk+Bo3oQOW0UoihizSkg5cmlVBeV4dmvPRHzH0FQKMhbs43s9xzLn3vXlkS88jC6FpEkP/EWRb8esN3ThPgR+eYUNCF+IIpceGABVRl5dfKMW++OBM6bhKBUUPzdZgpW1fJ/E0bhfU88YrXs/55fSnVmLi4togl6ZQpKdx2ixUr+B99StnGP7bmAuFjaLHgQlArSV+/kYj3p3WH5ZLxiozAXlXNk0rsYruSjDfdjwJ43KU/OBKDw2CVOznY8pKzLf6bj1cifk/2fBsCrX3siFzyMoFCQu2YbmSvWOoT36NqSyPkPo2vRiIuT36bQzk4ASnctsbvepWjzIVLnfkyjBY/g078DzQxm9j2z6raUbY2Xjh5vTcSjUQAWk5n90z8CMhH0/ugmP4fCywc0WgSNBtFQSdWujZh+qVvGAdSde+P29CuUzXscy+ULqFp3xPW+xxBUKsTqaoxff0j1meN1nlM2bY/LXQ+DoMB8ZBvmXY52UnWMw2Xog1hLCwEw799E9ZFtKIIjcRk1CVy1YLVi3vEj1Sf31ftu3nHtiF4wAZQKclZv5+qKdQ73Pbu1IGr+BNxaNuL84+9QIPsOlzA/mn86CxQCCrWKrE82kf3FljryfWT5glJB9urtZNQjP0aWf+7xd8iX5bu1iqTxa4+h9NCBxUr6sh/JX19T5v3j2tJy4YMISgVXVu8kefnPDnIVGhVtVzyBV2wUVUXlHJ+4DMMVqW71aBlBmzceQeWuQxSt7Iufh9VkpttPL+AS6I3FWEV7BXz6wKtUFJTaZA5/6UGaxbWjylDFDzNWkvl7ap34Dp5xD+3/1Rutlxsvt3I8DLDNnV0Z8PTdIELW2TQqJr3zX0sHgMC4WGIXSDZLXb2TC/WU8U7LJ+Mt2+zwpHeplG0GoA31ZdCeNzj75o9oQ30JGtAOs6GKA8+sovBUXVvo20TSfalUv13dcYKjL9SUud4rp+IW5k9FRh57J0llzrNxMAO/n4s2wAtDbjG7HnzLJnfkoXcwlxsRrVYUaiWiRbxhuQCdFjxAqNy+s39fXagv3d58FOAs0tk3Q4FUYDXQCTADh4FJ8v+d/I/5P7usVBAElSiKK/+oY3jLKBToHplG+aLZlD7zEJqe/VGENaobzlWLy9C7qb5w5raoHTl0ECvfXvjXBSgUBL88mfSHX+JS/GS8hvdB0zjcIYjxTAopI58m5c6plG7aR8BzNQ664KMfuTr9rTpiI+La4hUVxJre09k9+xN6Lx5fr/o+iyewe9bHrOk9Ha+oIML7xdruuQXrCe/ThjK5cycoBGIfGULWwbN80uJRTPmlpG847CAvZmw/qoor+LnndM599Bvt590HgGeTEBqN6MaGuNnsGPc6nZeMR5BPT+s0/wEyd51kQ59ZbBw4h5KLUqMse+/viFXVbOozk4v/2Ubj8QPxbBrqoC96bD+qSirY2GM651dtou28sQCYCsvY++CbbO7/HIefWknX5ZNtz2RuOc7WoS8C0H7xeBLuf53NfWcRPrI7HrXkR8ryf+sxnQurNtFGll96PoPtQ+axbdAcEsa9TofXH0ZQSkU87bu9JIx7XU5f4S/rqCosY9+Db7K1/3MceWolXeQ4aHzcabfoQYrPpLG20UPkJ6XQe8UT9aZvtyUTODDrY9b1mo5nVBAhcVL6tp4ynOyEM6zrNYPshDO0njIcgN9X/sqGwXPZMHgux1/9jpyDZ6kqriCoW3MqMgr4PHo8Wx54k5bjB+HdJKSOvp5LJpAw62O+l/WFyfoy95zipwHPsXbQHEpTsmg7VdLXbFwcAEf7TSfpngXEvPwQKBU0efURTo5bxOHezxAwqie6pmEOekxX8zk37T1yfkqgNunvr+fs1OWOFxUKOi4ez577X+e3vrNoNLL7Decli9HM6de/J2m+42CToFTQfsED7By9kM0Dnqf4zBX8Hxpm0xe2YBIpD73CuYFT8LmrDy5NHMu1OTOP9OnLKFq/2+G6Z/9O6FrHcP6OaVwcMYOAiaNQuGtluQLNXn2YE+OWcLD3swSO6olbrXiEjOuPubiCA92mceXDjTR+YRwAof8eAMChfjM5fs9Cmrz8AAgCglJB04XjSfzXfA7HzaLybBoBE4aCQkGjRRO5+O8FnI57Ct+RvXBt4pgOVVfzuPzMcgrW7aE2Ucumkf3BOk73e5Izd86iOr+kThgUCoJefoIrj75I8h2P4zmsbz3+L5nLo6ZxefgUSjcnEDhL8n+iwUTmzLdIGTqZK4+8QNDciSg83Gx2il0ygQPjXmdHn5mEjupRp9xFjJN81fbuz5L84SZayekNUJGWw66Bc9g1cE6djmHw0M5YKowOcYha/Bjn7l9IUr9p+I7ojbYeOyU/vZz8tXvr2gAImzWWskO/A+DdvwPaqGBO9JzCgdmf0HXJ+Hqfudmy3ebJERT+nsYvg+aQMG0lnec/IAmyWjCuXknZ7EdBtCKaDFQsewlN9/4oQq9Thw65m+pLNXWoWFZCxZtzKXvuUSpXvopu8vN1nxMUuIx8DMOnC6l8exqqtr0RAsLqBDOf3Idh2XQMy6ZTfWSbJN9swvjtuxjefhrjJwvQDH8YXHV1dSgURC95lN/HLeJ4n2fwH9ULbT2+4+K098hb6+g7qnKKOTlsDkkDZ5J0x/OEPjkSTWCtU78VCmJk+cdk+fX5pvPT3iO3lnyrwcT5J5eT2PcZTo9dSMz8CSg9dTa5rV6dwOFxr7G79wxCRvXAvVZ+DR8Xh7m4gl3dnuHyhxtpLpdrQamg3XtTODXzE/b0ncnBUQuwmmtOTT7xxHskDHie5UPnOHQMm/Vrh29UEG/2e5a1cz5m5KL6T4E/uz2R90e8UOe6b2QQ/Z4Ywcq7X2Hp4FlsmG83sNzQ6QCgEGi7ZAL7xr3O1j4zCaunjEfKZXxL92e59OEmWtuVcYDYV/5N9o4kPBqH4B4dxJbuz3Jo1id0uU6Z6/LqBA7N/Jj1PafjYVfmWk2VytzPcplrJddvPq0jqUjP4/S7P5O+4XAdudvGLGLjoLlUV5huSm5I/7Z4RAWxvuf0Ou/bc9njnPngV4AWQBcgV761GmgOtAG0wKP1RvJ/idXasH9/U/7xnUNBENwEQfhVEIQkQRBOC4JwryAIHQVB2C0IwjFBEDYLghAsh90lCMJSQRCOAtMEQXhZEIQZ8r3HBEE4Isv5URCEerz8zaFs3Bxr9lWsuVlQXY153w40nXrWCae97xGM69cgmm/PWeed2rXBy9PjLz+vbduUqrRMzFeywVxNyYY9eAzs5hCm8uBJRKN0mqPhxDnUQX62exX7k7BWGOrIjRzckQs/Sk4393gyLp5u6AK8HcLoArxRu2vJPZ4MwIUfE4iK72S73+Olf3Nw0TcgSgcvB7SLoSK7kGpDFVazhbT1BwmP7+ggMyy+AynfSw2g9A2HCezVCoDw+I6krT+Itaqaiit5lKXm4Ns+BrWHloBuzUj+ehcAVrMFc6k0MlZdVklZag4V6XkUHL2IIbuI0Fr6QoZ0JPU7qWGaseEwgb0lfcWn0zDmFANQcj4DpasGhUaavC9IvIQxtxhBIVAuyxfNFq6sP0hIPfLTZPlXNxwmQJZvMVQhWiRno3BRO5xNnX/wHFVF5QDo28f8ZR32cSi1i4NbRACi2UKqbLPU9QfQBnihrZW+2gBv1B5a8hOl9E3+IYGIIZ1s6ZEsp1Py93sJH9KJ2kSN6E7qOmmGI6hrc858vhWArP1nEC1WfJo7NuK1cn7Kk/Vd+iGBRnJ+urrntM1euYnJ6IL1AHg3CSVrv9QoNueXUl1aQdC9/TBczsaYlotoriZ33T78ar2f8UoeFWfSoZ7PnRTvPY2l3LFMeHZobMtLVrOF9PUHbzgvWQwm8g9fwFL7MxKCAIKASucKgNpDizlHmvHQtWuCKTWLqis5iOZqin7Zi9egrg6PV2XkYjyXWicOLk3CKT/8O1isWA0mDOdS8ezbwRYPw+Uc2TYWctbtx29IZ4fn/Yd0Ius7qcOZ+8tBfHq1BsCtaRhFCacdbO3ZLlqKBwJKnQsASg8d5pxC3NpLcTClS3EoXJ+AT3yXWnHIw3A2rU4cXJuEIaiUlO5NAsBaacRqrOtztbGO/q/01z14DOjuEKbykKP/U8n+ryr1KuY0aSCpOreQ6oJilHovAHzaN6bicg6V6ZKdrq47QFCt9A6O78SV76QykLnhEH6ynf4Ipc6FmElDubB0ne2ae/vGGO3sVFCPnUwZeVSeTau3geLWJhq1vzcluyVb+cR3Ie+HXQDkJyaj8XK7LWXbq2ko2fLKg9LkLNzD/BA8fRCLC7GkXkQZ0xxrdgbWK5dRePpQdXAH6o496ryvdvTDGH9ZA1U16WlJu4RYXACANSMVNBpQOX6GQxHeGGtBFmJhDliqqU5KQNXS0U7XQ8zPQizIkv5fVoRYXoLg5lUnnEf7xhgvZ2NKl3xH3rp96OMdy4fpipQWYq20EM3ViFVSp0rhokKo55MJ1+Qbb0B+7bQ2pGRhvJwNQFVOEVX5Jah9PW1yKy9nY5DLdea6AwTW8nmBQzqSIfun7F9q8qtfv1jKzqRTdiYdAHNReb1+sTYtBnfk+E9SPrly/BKuHjo8/L3rhLty/BJlecV1rne+L44DX2zBWFoB4NDxbOh0ANDXKuMZ6w4QXE8ZT5fL+NUNh/C3K+PBQzpRkZ5H2fkMPJqH2cLdaJm7/EOCrWyFx3ckRX4+5buaMhfUvQXnP9uCWG2h4mrBbZMbHt+Ryz8k1HlfryYhCCoF2XtOXxNfDlTK/9+I1FIRkWYO647M/K8RrQ379zflH985BIYAmaIothVFsTXwG7AcGC2KYkfgU2CRXXiNKIqdRFGsPbX1kyiKnUVRbIs09f3Irb6YQu+PtaBmyZK1MA/B198hjDKqCQpff6oTD9Z+/H+GKtAXc1bNMofq7HzUgb7XDe89ZjDlu4/+qVy3IB/KMwtsv8uzCnEL8qkTpiKrsN4wkYM7UJldRMHZdIfwhoIyAjs2ZvTmRTQa2R3vFo4dBF2QDxWZkkzRYsVcWomL3h1tcM11gMqsQrRBPrhH+GMsKKPbOxO5Y8tCur75KEqt1EjVBukxXJXiEHVfXwqOXUJbKw66IB8qa+nT6N0dwoTd2YWiU6lYq2p9g04QbPIBDPI72aMN8sFwHfn69jEM2vUag3e+SuLsT22dH8fn9bek4xqhdnEoT81G4+OO1WxBUCoIj++ItdqCrj7bZDna/FoYrZ8nhtxi6Z1yi9H6eTo8q3TVENIvlrSNR2yyKuT85B7mh6BUYMhznAmqnZ8q7PTZ0/TePmTsPAlA4dl0IgZ1QFAqcI0IwCM2Gl3jUEx2edeUWYhL0PXLxI3gUisdKutJhxvJS/aI1RaOzf6MITte5a4TK/BsGkrBt1IHWh3kWK7NWfmobzAOxjOX8ejbAcFVg9LHA/fubVCHSL7MNUiP0cE2BbjUiodLsB6THFfRYqW6rBK13oOyM2n4xXeSbe2PR2w0LiG+iNUWzs/+mK673qDXyZVom4SRt2Y7miA9VZk1cajKKrjhOLhGh2ApraDxR7NpufktwuY9BIq6VaAqyJdqeztl56P6I/83Op7yPXX9n2tsUwSNCnO61IFwDfbBkOlY7lzlAQnbM3ZhrtlJo5cG+nQR/vTdupiea19A37WZ7ZkWs8eQvPJXqg01n17RBPlSZaerKqsATS1d10UQaPTSeNLn1yxVrm33ynrK0V8p20Vn0okYKjUufdtF4xbmh0JfM9Co0PshVpShbNSY6uSzWAvzUfjUqkMjmyD4+lN94tB1o6Tu0gdL6kWodhxMEbx8bR1IALGkAMGrrp1UrbujffptXP89E8Grbl5QhDWWlq8WZte5pwmum2ddbjQtAE2IL+12vEWnYx+S8d56qnKKHO67BOsx3YL8a7i3b4xCrcKYmmOTa59fjZkFuNZKc9dgPUa7cm2Wy7VbTDCiKNLlm+fotXUx0fJM8TVil02i1/Yl9H9ylMN1r0Afiu3q5JLsQjzr8dfXwy86GL+oYCb98BKT175C0741q44aOh2g/jKu/ZMybpbLuFLnQtOpwzn7prTUX+2hs9XBABWZ9dfT9mXOPoxrrTLnKpc5rV29WUeuKDJgzXMM+P552wD8rcr1iAmmqqSSPh9PAzgOvEHdzzmrgQeQ2u9O/gb8/9A5PAUMEgThNUEQegPhQGtgqyAIJ4B5OI5GfHsdOa0FQdgrCMIp4H6g1Z8pFgRhoiAIRwVBOPp5SubNv7kgoH1oCoYvPrj5Z/8meI2Iw7VNEwo++vHPA98CKlcN7afexZG3fqhzz1hUxlfdnuaH+Llk7T5FSP+2t6RLUCrRt4nk4hfb2TR4HtWVJtvSiWu0mDYC0WIh/+jFm5bv2TSUtvPu4+isT27pPeuj8HgyW/vNZvsdL9D8ybukGcQGwLNpKG3m3UeiHAdzSSUl567Qaubd9Fv3IuUZ+X8i4c8Raw00hw9uT+7RC1QVVzhcV+lcGLBqGqWXs6muvPlvE7Z98i6sFivJP0n7hS58s5uKrEI6bnmNxgvGU3Lk/N96hM8eQaWk8UMD2DxoDj+3m0rJmXQCp4y+Zblle09QtvMoTX96ncjlM6lIPAf1DDzcLFlf78SUVUDnLUtouuAhSo5cQLRaEVRKQscP4vCA50iIfZzKs2kEP/mvW9IlqJS4d2nBlQWfc2boTFwiAvG7J+6WZHreFYe2TRMKP3b0Syp/H0LemEHmc+/Uzch/AVNOMVs6PsXuQXM4/dJXdHp/Kip3LZ6tGqGLDCRr058Pzt0ogeOHULQjkaqsgj8P/Be5ZpLTK35B4+nGsC2LaP7wYApPpzmWNZUaVeuOGL58HwyVdQUJAtr7J2Ncff06VBEaiet9EzF88s51w/wR1WePUPnqJAxLn6X6YhIu9zzl+AoePrjeNw3j9ytuS1rXpiqzgBP9p5PYfSoB9/RF7Vd3dvJWUQd402z5k1x4+r3bEgeFUoG+azOOP/Ee++96maChnfCVVz0cf2IFe/vN5sBdrxDZuRnt/9X7lvVdQ6lU4BcVxEf3LeSbJ1cwasljNctkb5GGTocWM+/m0qqNWP5CHXYj3Eiybh65gI3x8zg670t0wXoC7Aah/qpchVJBQNdmJEpbIDoD0cD4WsHeB/YA9a9x/19itTTs39+Uf/yBNKIoXhAEoQPSBteFwA7gd1EUu1/nkYrrXP8cGCmKYpIgCOOBfjegexWwCqBoTL86RcRamIfCbqZQofdHtJtJRKtDGR6F+8tLpfveetxnL6L8tbm3fCjNrVCdU4A6uGb0VhXkhzmnbkPBrUc7/J64l9Rxs21LLmrj8+878bl3CACXT6ThHlIz6uoerKci23H0rSK7CDe7kbZrYTwjA/AM92fM5sWS7mA9d29ayN65n6Pz97J1CqqKyhFFERe9O6ZCaRllZXYRbiF6DFmFCEoFak8dpsJyDFnS9WvogvUYsouozCqkMquQAnlpa/qGw7bOoSG7EH2Hxng2C2PXPYtp+ugQDLXiUJldhK6Wvir5XbTBenp9+gyHnlpJRVoudRBFtKE1NtLK72SPIbsI7XXkX6PsYibVFUa8modRlHS51vOFt6RDG6yn+6fPcOSplQTFtSXqfqmBXZiUQl7C71xZd4DQB/ojKBRU1mebYEebXwtjyC9FG+AtzSwEeGO0WxIEEHlXd0yFZQzbIi0EyEtKwT3cn3bTRpK8dj/N/t3/T/OTm50+gCZjehMxsD0b711iuyZarBx6ZTX5ZilPtd+wkPLTqQTd288WxiVEjyn71hrPpuxC9HbpoKsnHf4oL9WHTytpP9a1vHXll0N0euoOAMzZjuVaHeyH+SbikLPie3JWSAezNHp3OsbLVwEwZhfialeuXUJ8MdWKhymrEJdQX0xyPFQeOsyF0iE5F1+s2fbdccN8DMlZuLeOBMCQJs1iFP6yj+Ap/6I04ZR0mIyMJtj3huNQlVVA5e+pmNIlmcWbD+HWoRl8s90hXHV2ASp7OwX5UV2P/9PJ/i+tlv9TuGsJ/+gV8t75D8YTNX7cmFWENsSx3BntRv3twxjt7FQl28laJaV7ycnLVKTl4B4ThHe7GHzaRjPoyDIEpQIXP09a/jCf9CVfobHTpQn2paqWruvh0bEZHl1bEDJlFCoPHQgClefSHOyuq1WO4K+VbXO5gf3PrrI986+D71CdK820olTiEj8KsawE81GpzajQ+2EtsqtDXXUowqNwnyd1/AQvPW7TF1Lx1jwsly8g6P1we+YVKlcuwZpbdwBXLClA8K6xk+Dli1hSy06VNeWt+vA2XIY+UHPPRYvrhLmYNn+NNf1Cvfasyiqsk2dNN5gWDnJyiqg8dwXPbi1sB6WAXLZuQb7SXUvrr+aQ9uoayhJrBjtNWYX42eUh1xBfjLXS3JhViGtoTX5Vy+XakFVI4YFztjKeu+0EXm2iKNj7u803WCqMnPh5P53u6UevRyUflZGUgneInjRZvleQntJaOv+IkuxCrpxIxlptoSgjj/zLWWijgyk/kdzg6SDZo24ZN1ynjBvsbFZVWIa+fWMa3deXTiumICgFxGorjcb1o+Cw5EPcQuqvp+3LnH0Yo12Za/XkXai0GoZuXUTBiRTc7N7R/plr/5acz8BSVY1v+xhyD52/rlxtgDcmuSwbsotwC/Elr5ZchUpB0e9plKfnAVQD64BuwLXR8ZcAf6TDaJz8TfjHzxwKghCCdOLoV0jT1V0Bf0EQusv31YIg/OksIOABZAmCoEaaObxlLJfOowgOQxEQBCoV6p79qTpacxIYlRWUPDKC0in3UTrlPqovnvmfdwwBDCcvoIkMRR0WCGoVXsP6UL7dccmOa8toghdO5cqk+VgK6jnUQaboq19JGf4kKcOf5PLmYzS9uxcAAe1jqCqrpFJennCNytxizOUGAtrHAND07l6kbjlG4bkM/tN+Cqt7PMPqHs9QkVXIj3fM48quk3jHhOAR7o9CrST6vr5YTGZbxxDg6pZEosdIo5MRw7qQkyDtccnYkkijEd2kPXPh/nhEBVFwPBljXgmVmYV4xAQDENS7FSUXpYaw2tsNz5hgEud+jlhtIWJEN65uPuYQh8zNiUTe0weAsGFdyEmQ9q+pPXX0+XIGSYu/If9I/Q0J0SriHhWELtwfQa0kfEQ3smrJz9qcSCNZfuiwLuTK8nXh/rYDaHRhfng0DqHiSt2TGItOpPxlHWpPHT2/nMGpxd9QcOQCyZ9vZdugOWwbNIe8fWdoNKY3ai8dLR8fSkVWoW35yTUMucWYywz4dZDSN2Z0L67IujO2JBIjp1PMmN626yDtnQvs1pzDc7+wHU6T9tsxOs+5l+JLmeQcu4C5rLJ+feUG/GV9jUf3Im2LJDe0XyxtJg9j64S3sdjtPVO6alDJy4h9+sQiVlvI+/kA2uhgXCMCENQqAkb2JH/zrc3WlB2/hEdUEG5y3r2ZvHQ9KrML8WwaiouvtBQxsE9rjJcypHtJF3GJCkETHoigVuEzvDelW6+/FM8BhQKltyTTtXkkrs0jKdtzXI5HMrroIFwjpPwUOLJHHdvkbz5K8D19AQgY3o0iOR4KrQaFvK9Q36cNYrWVigtXMWUV4tY0DLUcD68+bTFeyqDixEVcooLRhEvpoB/Ri6ItR24oChUnLqHy0qHSy3uqerbBeOFKnXCGUxfQRIbY/J/nnX0o2+7YCHRpGU3wgicl/1do5//UKsLee4Hiddsp+83x5MriE8m4RQehk+0UOrI72Vsc0zt7yzHC75HKQMiwruTvk+yk8fUA+bAsXUQAblFBVKTlkvqfbWxuN4Wtnaexd8QrGFOyODP6RcpPXMI1KhgX2U6+N2GnS1OXcrzzJI61eoiUGe+T88VvXHn1a/xH9wPAr0MM5tLrlLWbLNtqTx0KtbTCrMm4fuQcOmebIdQ9NhPLpXOgUqHwDwKlCk23/piP2Z2qaqig9PFRlD49jtKnx2G5dKamY6hzw33GEozffIzlQv3lxppxCYVvMIJPAChVqNr2wnLW0U6CR81SPmXLzlhzr8o/VLg+OJvqxF1YTjme9GpP2YlLaKODcZF9h//InhTeYFpogvUoXDWSOi83PLs0x3DJsZNbduISrn9RvqBW0fKzWeR8v9t2gqm9XLfoILRyfg0Z2Z2cWv4pZ/MxwmT/FDS8K/lyuc7beRKPFuEotBoEpQLfHi0ov3BV6gzJy6QFlZLm/duT9Mt+lg+dw/Khcziz5ahtJjG8fWOMZYZ69xZejzNbjhLdrQUAOh8P/KKCMcoDTA2dDgBFJ5JxtyvjYSO7k1WrjGdtOUaEXMZDh3UlTy7je0bO59cWk1gf8SDn31nHlR8TcA2QZif9OsRQdQNlLqpWmYuW9SCKnPtkMxsHzSXjt2NEjZbaYW6hvja5Sq0LKjdpr3pVmQGlixprteUP5Ubf09vh+jW59u9bcCIFjacOF73tHIz+wLWTox4F4oGxwN9zec7/0T2HgtgAyyD+mwiCEI/UKbQiHYE7GWl04l3AC2l2dKkoih8JgrALmCGK4lH52ZeRP1MhCMJkYBaQBxwCPERRHH+jn7Kob+YQQNW+K7rxU0GhoGrnJow/fYXrvROwJJ/HbN9RBNxfXorhiw/q7Ry6f/BpnWvXY+ZLr3Lk+EmKi0vx1XvzxCMPcPfw+D985mLXJx319etE4LyJCAoFxT9sJf/9b/F/+t8YTl2kfPshIr5YhGuzRlTnSqNJ5sw8rkyaD0DkN6+hiQ5H4eaKpaiMzOeXUbE3kT1VPvRa+BDh/WKpNlSxa/oq8k5Ks1qjf1vED0PmAuAfG0Xc2xNRumq4sjOJhBfqHih7//53+PHOFzAWldNr0Xha3Cc1PI15pSRMXkFIXCwFSZe5uiURhYta+pRF60hMxeXsm7zi2igWrZ66i5j7+iJarBx78Usy5X1nPq0i6PrmoyjUKsrTczn4zCqqSiq5a9+bqD10qD20IEDx7+lsG/oirWfeTWHSZTJlfd2WT8a7dSOqiis48PhyKtLzaPn0SFo8OZyylBxbPHbf9yqmglJi542l0ageaIO8MRVVIAhgLq0k9ZvdnFu2npYz76Yo6TJZsvwudvIPyfIjRvei2dThiGYLomjl7NtryfxNctxd3p+Cf48WuOg9MOaVcvXXQwT1bycdt30TOpo/PZLmTw6n3C4Oe+U4dHl/CkFxsah0rhjyStj16FIK5PQdtmURGwZL6esbG0WPdyZKR2TvTOLwPCl9XXzc6bPySdxCfanIyGf348ttS0hj7ulNSL9Y9j7xnk2vvktThq19EUuVGdEqUn61gEOvfEXGjiRGbl7EunhJn19sFH3k/JSxK4kDsr4xCW+h0KgwyQf15CZeYv/zn+Ee5kf86tmoLRaqsgs598wHmDLy0Q9oT+MF0ucastbsJH3pT0TOupeypGQKNh/Fo10MrT+bicrbDavRTFVuMUf6PgtAu/Xz0TUORenmSnVRGeee+YCiXUkoBnau+ZTFN7s5u2z9DeUlgGGHl6Jy16LQqDCXVLJ77KuUXrhKzIMDaPpoPFazhYqMfApnvoWlWP6URVxHQl98FEGpoPC7beSs+J6gZ8dRefISpdsOo41tTNSqOSi93BFNVZjzijk/aCqCi5pmv0qzM5YyAxlz38dwRkrbAqMW3wHtaLpAOtU1a80uUpeuJXrWGEqTUsjffAyFi5qWK6bi0SYSc3E5pyctw5iWi2u4P+2+mQNWEVN2IWefWYlRXpIc+uBAwh8birW6GsvVXFKeWY6lqAyv/h2IeOURUCjI/3Y7We/+QMiMsVQmXaJ46xHc2jam8Sez5TiYMecWcbr/NAA8e7cl/MXx0mzYqWRSZ32AKJ+i6K6rWc7l1rcTgXPlT1n8sIWCD77Fb9q/MZ66SPmOQ0R8vgiXZpFU5xXa/F/G4/PxvCuOkFefwXQpzSYrc/Y7mM6mcKHMm4AB7Wgjp3f6ml1cWLae5rNGU3wihWw5vTuseAKv1o0wF1dwdNJyKtNzCb6zM81njZEOxrCKnHvjR3K2Jjr4RG24H72+nGH7lIV3/w40ekU6sTj3m+1kvvsjYTPvoyIpmaItkp2afjLbll/NeUWcjHvaQab/PXG4tY0hde7HRC5+DO9+7TEYzOx/dtVtKdt+HRvTa+kkRBGKz2dwYMZHDGl/CWXT1ni89C6W9GRw0Up7D8vLMG1dh2n9alzvHk/15QtUJ9aqQ+e+jeHrlVguX8Bl5L9xHT4Wa85V2/3yV2chlhajCvO2XVM264DL8IdBocB8ZDvmnT+iGXQfloxkLGePoBlyP8qWncFiRTSUYVq7CjHvKqr2fXAZMxVrTs0Ag+m75VizUkn6j+O4u8+A9kTNlz6hkLtmBxnLfiJi1r2Un0imcMtR3NvF0PzTWXZpUczxvs/g1SeWqJcfktbuCQJZn24i5yvptFRrLfnR86VPWeSs2cGVZT/RaNa9lNnJb2knvyqvmMS+z+B/d2+aLp1C5fmaOFyY9h4V8ucjXPp3pqX8WYaMNbu4tHQdTWeNpjjpMrlyuW634gk85XKdOGk5BnnVQujdvYh5agQgkrvtBOcWfI1S50L3dS8iqFUICgUnD5zm1wVfItodVnPX/PE07dsWs8HEDzM/5OopKZ89uXExy4fOAWDIc2NpN6IHHoE+lOUUceTbXWxfKm1tuXPev2nSNxbRYmXne+uJ+L7m5OWGSAeAHDS2/wcOaEesXMbT1uzi/LL1tJDL+LW6tdOKJ2w+/bBcxu1pMeNuqiuM6CL8CYxrW/MpC7nMDd0qnSgKoI+NosdSqX7L3JnEkblSmdP4uNP7Wpm7mi99cqK4Ald/L0bsfwuVVoMoSqeo/9xzBi56d4btfI2ylCwElZKcA2cJ7Nb8huUCdF78ECFy+87+fYP6tKbji+PwaRlxGjgGTASqkNrqaUCZHPWfgPn8jTCd3dmgnSSXFnH1n270P+Yf3zn8u3C9zuHt4mY6h3+F2p3DhmBP1Y1vLP+reDTwEm7Vf6G81N6p/U+kUtHw/s7cwCpizA2z98OeHIXmzwPdIs00ZX8e6BYoMGobVD6Ap+r2nOT8R9h3DhuCC2XeDSofIFBh/PNAt8iFWz/I+w+5q99f2L9/k9h3DhuC2p3DhuC/MedQKjbMnvVrJGgbvp4YVs+JxLcb+85hQ1BZz8FZ/0T+nfnV37Ij9EeYft/esJ3DVgP+ljb5/yPHOXHixIkTJ06cOHHixImTW+IffyCNEydOnDhx4sSJEydOnNxW/sb7AhsS58yhEydOnDhx4sSJEydOnDhxzhzeLhL3BDao/OAG3hPY5NDyBpUPkBT7QoPrsPC3XL79t6Ohd04q/wtbmdUNvP8zS6nBy9Kwm1irhYbPr4VG1waVXy40/C7ZSkvDxgHArbRh91eVKxt+LFZrafg9rIoGTu7sIw2f1gXbGzYtGnoPGoC6wb04lCobNrEj6/8C1m2lRGz4Zq6lgffYW/8LzRqF8/iR+rE6Zw6dOHHixIlMQ3cMnThx4sSJEydO/m44Zw6dOHHixIkTJ06cOHHixA5R/L85SOycOXTixIkTJ06cOHHixIkTJ86ZQ0EQUoFOoijm30KYId32vYOgVJC5egdpy9c7Pq9R0WrFFDxiozEXlXF64jKMV/IQ1EqavzERz3bRiFaRC/M+p3j/GQACR/UgctooRFGkKruI/FmvYSkqBcCtT0eCXpiIoFRQ9O0WCj783kGf/uGR+NwTj2ixYCksIXP2UsyZ0oezIz6bj7ZdMyqPnuHKY6/8FZMxb/Hb7Nl3GL2PN+u+WnnDzwX3i6XDggcQFAqS1+zi7IpfHO4rNCq6vTsZfZtITEXl7H98ORUZ+Wh83Om1ahr6dtFc/m4Px+b+x/ZMv9WzcA3wRheiR1Aqqbiaz4GnV1F4KrWOfn2bSLovnSR9oHnHCY6+8CUAGm83eq+ciluYPxUZedJHXUsqCYvvQNuZoxFFEbHawtGXvqL40HmC4mJpP/8BFGoVGh930n5IINHunRQaFV3fnYxPbCRVReXsn7ScSjkePT6S4pH67R6HZ+J+nItrgDcWoxm1u6u8KVDk8te7OF+PnTrbyT8oy/dpF03HNx6VAglw5q2fyNx0FG2Ins7vTsbV3wtRFLn81Q5Kk7NqPr5+HR1dZB0mOx0BfVoTO/c+FGoVVnM1SfO/Jm/fGZRaDd1XPYVbZCCixUrG1uPk7D9LJzm9L63ZxZl6dPR493H0baIwFZWR8PgKKuQPoLeaOpyYsf0QrVaOzvuCrN2nULioGbp1Ee7h/iAI5B06x857l9xQHgJoOfUuosf2RbRaOTbvC7J3nwKg6SPxxNwfhyAIJK/eyfmPfwOg3appeLWNxjVYj6BQUFVQyo62k+voi10xBa/YKMxF5RyfuAzDlTxC7u5J9BPDbeE8WkaQMPB5yn5Po/Oa53AJ9EFQKijNyMcjKui22UgXoqf7ssfRyml96audlK5ylHkNfVxbmiyUPpydtXp7Hb/l3a0FTRY8hFvLRvw+aSl5Gw7VKwcgIC6WNgseBKWC9NU7uVhPPDosn2yz05FJ72K4ko823I8Be96kPFn6tl3hsUucnP0pSq2GTh9Nw61RIKLVStm5K3i1aiR9PH71Ti6t+LmO/HbLn8A7NoqqonKOTVpmkx+35y2b/KJjlzg1+xMAuv/0glzmpO+gnbx3Ieb80ttqJ/tnz6/ZfVvKwKCf5qHUqBBUStJ/PcypN3+yyWuz8kkC7+wKQP7OJE48+IaDPkGjos2KKXjK6ZB0rS5SKWn19kQ8YqMQlEqyvt/D5XfX49OjJZ1+nIe1qhpEMBeX80PHp+rYaPDaF1C5S3sFXX09KTiRzO6Hl9YJdz3sfbAyK4ur05ZgLS3HrXdHghY+hdLXG2tpOVUpGaT/e7btOZ8Jo/AeE49YbcFSVELW80upzszFpUU0QS9PQeGuQ7RYKVj5LWUb99Sr2zuuHdELpA+j56zeztUV6xzue3ZrQdT8Cbi1bMT5x9+hYMNBAFzC/Gj+6SxQCCjUKrI+2UT2F1tszwXGxRIrf0A+dfVOLtST9p2WT7bl2cOT3qXySj4+7WNo/8YjcoIJnHvzRzI3HQVA7amjw9uP4dksHESRpGc+pOjYRfzj2tJa1nUz5QPAo0UEsW88gtpDh2i1cm7Jt7R88X4EpYILDZxnW40fRJtHh+AVGUhpei7mCiO7nllF/unUOunk1yaSfu9I9Xf6jhPsf1GqvzvNGE1kfAdEq4ghv5Rdz35IZU4xGi8d/d6aSECLcFwDfajKLyXt8y2kLK9rm/p8OEh+u/Ubj6Jy14Iosi9+LlaTmeAR3Yl5eiSCQkHu1uNcPXC2QepTfacmqHSumEsr2Xb/6xTWYxd9m0h6vjMJpdyuOfJiTbumzwdTcQ/3p/xKHnsel9o1gd1bEPfpM5TLcbQYq3DRe2IxmHDRe2AqKke0WhGrLWy640WbjptpO13Dt2008b+8RMLkFaT/euTaZQtwSv5/OnBXnUj9nXCeVurkL6IE3jsxbgkHez9L4KieuDUNdQgQMq4/5uIKDnSbxpUPN9L4hXEAhP57AACH+s3k+D0LafLyAyAICEoFTReOJ/Ff8zkcN4vyM+noHxgmCVMoCH55MukPv8Sl+Ml4De+DpnG4gz7jmRRSRj5Nyp1TKd20j4DnHrbdK/joR65Of+uWIjxy6CBWvr3wpp/ruHg8u+5/nY39ZtFoRHc8mzjaKXpsP6qKK9jQczrnP9pE23ljAbAYzZx843tOzP+6jsyESctJWvItBcdTyNl7mrRfDtFlyfh69Xd5dQKHZn7M+p7T8YgKIiQuFpAqtOyEM/zcawbZCWdoNVVq1Gfv/Z1fB85h46C5HHj2I7q9+SiCQqDj4vHsuf91MrcfB6uIxtutbjxKKtjYYzrnVznG4/Tr35NUTzwADk59n63xcwHYe98SNvedRfjI7njUyk+RsvzfekznwqpNtJHll57PYPuQeWwbNIeEca/T4fWHEZQKxGorJ19ZzZa+s9h550vEjB9EpzceZe/9r/Nb31lE1KMjStaxqcd0Lq7aRKyso6qwjIQH32RL/+c4/NRKui6v6Syd/2Ajm3vPZOugOfh3bkr3dx5j5/2vs6HfLCJHdMOzSYiDjhg5vX/uOZ1zH/1G+3n3AeDZJIRGI7qxIW42O8a9Tucl4xEUAqK5GqVGxYa+s/i+xUT8OjYhYkT3uravJw95NgklYkQ3NsbNZte41+m0ZAKCQsCrWRgx98ex5c4X2TTweUIGtcc9Ujpc6sTj7wKwp/d0Uj/9DUEh4F7LTmHj4qguLmd3t6e5/OGvNJPLduaP+0gY8BwJA54jaep7VKbnUfZ7GgDHH1tGQv/Z7I2bRUD3Fpz/fOtts5G12kri/K/Z0G82m4e9TNPxA9HVemcAFALNXn2EpHGLOdT7GQJG9awTzng1nzPT3ifnp4S6z9eSFbtkAgfGvc6OPjMJHdWjTn6KGCfFY3v3Z0n+cBOt5HQBqEjLYdfAOewaOIeTsz+1XU/+4Fd29J7BrsFzCIrvyKUV69nZZwYho3rUSYfwcXGYiyvY0f0ZUj7cSIt54xzk7xn4PHsGPm/rGF4jccp7tnv1dQxvyU61nr0t6Wsys33MYjYOmsvGQXMJ6ReLb4cYAKLv64v/oA7s6zWd7dEPoYsMqFMXhY2Lw1xcTkK3p0n78Feayvk18K5uCC5qDvSbxcHBzxP2wEBcw/0BsJrM7Gk/he2RD7Kn3RN1bQRsGbXA9k75xy6SvvFoveGuh70PrjhwAt+JY0ChIPCVKVhNVaTcMYnq/CLy3v6Pw3OmM8mk/msaqXdNoey3BAJmSXWd1WAic9ZbXL5zMhmPvkDgnIkoPNzqKlYoiF7yKL+PW8TxPs/gP6oX2qZhjjqu5nNx2nvkrXVM36qcYk4Om0PSwJkk3fE8oU+ORBPoI8sVaLtkAvvGvc7WPjMJq6dMRMplYkv3Z7n04SZaX/Pj566wM34eOwbOYf/Y12j3xiMI8mFGsQsfJGdHElt7z2D3gNmUXbwKCoE2SyZwaNxrN10+BKWCDu9N4dSsT9jVdyb7Ry+k1fwHbbIaOs9mH7lA4rJ1VBuqWHvni+yZ/Qm9rlN/914ygT2zPuabXtPxigoiXK6/k1b+yg+D5vBj/FzStx+n49OjAOjw5AgKzqSBCEcfeJ2K1BxCRvW8YR8uKBW0fW8Kp2d+zN6+Mzk4aj5WczVqH3eav3g/h0cvZG/fmbgEetH57Ym3vT7NO3SewsRk1jZ+mMqcInq/V3/Z67ZkAgdmfcy6XtPxtGvXtJ4ilal1crum9ZSawcrcw+fZMHgux1/9jqqSStb1ms6hWZ/g4uPOtjGL2Dhorq1jCDffdgIQFALt595L1u5T1MIAtJP//t4dw//D/CM7h4IgRAqCcE4QhM8FQbggCMJqQRAGCoKwTxCEi4IgdBEEQS8IwjpBEE4KgnBQEIRY+VlfQRC2CILwuyAIH0PN8ZaCIPxbEITDgiCcEAThQ0G4oWP4ugCXjGm5iGYLOev24zeks0MA/yGdyPpuNwC5vxzEp1drANyahlGUcBoAc34p1aUVeLaLBkEABJQ6FwCUHlrMuYUAaNs2pSotE/OVbDBXU7JhDx4Duznoqzx4EtFoAsBw4hzqID/bvYr9SVgrDDdo6frp1K4NXp4eN/WMoHKhPDWHivQ8rGYL6esPEhbf0SFMWHxHLn8vje5e2XCYoF6tALAYTOQfvoDFZK4jt7rcQFh8R1J/2odCo6IsJRuNlxvaAG+HcNoAb9QeWvITkwG4/EMC4UM6ARAe35GU7/YCkPLdXtv16kqT7XmVzgVEEX37GMpSc9B4u+Gq9yRn72ncIgIcdIUM6Ujqd1I8MjYcJrB3rXgY68bjGvr2MTY7iWYLV9YfJKSWnUKGdCRNln91w2ECbPKrEC3SKJfCRW07ktSYW0yxPJNaXWHEmFeCMb/EQUdoPTrs43BNR/HpNIw5xYDUGVW6alBoVFgMVeTJs96i2UJlThGm4grK5fROW3+Q8Drp3YGU7yW7p284TKCc3uHxHUlbfxBrVTUVV/IoS83Bt30Mvu1jKE3JpjxdGvGsKq0goGuzWjLrz0Nh8R1Jt5NZnpqDvn0Mnk1CKDiebLNd7oGzhA+Vyq93h8ZUXs7GkJZL8LBuXP0hgUA5b1wjcEgnMmQ7Zf9yCD9Znz3Bo3qStW6/7Xd1uVT+fDo3xWKowpRXcttsZMwtpsgurUsuZeISpK/zTp5y3K75rdx1+/Gv5beMV/KoOJMO1j8+xs6nfWMqLudQmS7JurruAEG14hEc34krchnL3HAIP9kHXg+LoYr8fVJ+8m4dhSm/BEGpQjRbyFx3gKB4x3QIiu9oS4esDYfw/xP5N8qt2Kn2s7cjfaHGLynUShRqla2ct5h0B2WnUzGk5SCaLWT9kEBArfzqP6QTmbKdcn45hP5afhVFVDoXBKUCpasGq7ma6rJKbha1u5bAnq3I+O0YAEqtC93efowhv77C0C0LCYvvUO9z9j64ZO023Ad2xzW2KaKxirKNe6m+kk3pr3vQdnZM18pDjnWdKlCq68ypVzGnSbPF1bmFVBcWo9R71dHr0b4xxsvZmNJzEc3V5K3bhz7eMX1NV/KoPJuGWOvUQtFcjVglHbepcFEh2J08rK9VJjLWHSC4njKRLsf5ql2edfDjrjV+XOWhxa9bc1K/3iXrt1BdWimXv2ybrpspH/79Yik9k07pmXQA3CODHGQ1dJ4t+D2NwI5NMFcaAchNTMbF0w1drfpbF+CN2l1Lrlx/X/ghgUg5jubymvaMSuuCKJ9i7d0klMrcEiovZ1Ow5zTaMD9ytybesA/36xdL2Zl0ymTbmIvKwSqiaxRAxeVsqgrKAKhMz0O0WG57feoW4U/a93ulduWBc2g8dX/arkn+IYEIu3ZNspxOyd/XtGvsCY/vSPIP0qBHfmIygkLA1c/zD3XcSNsJoNnDg0nfeARjfYNu/ySs1ob9+5vyj+wcyjQG3gKay3/jgF7ADGAO8ApwXBTFWPn3F/JzLwEJoii2AtYCEQCCILQA7gV6iqLYDmnq+/4beI9Q4Mq1H6bMAlyCfBwCuATrMV0tAEC0WKkuq0St96DsTBp+8Z0QlApcI/zxiI3GJcQXsdrC+dkf03XXG/Q6uRK3pmEUfyctV1EF+mLOqlndWp2djzrQ97ov5z1mMOW7b24Ut0FQqKjMLLD9rMwqRBvsaCdtkA+VmVInWLRYqSqtRKN3/1PRYUM703nJBMzlRtI3HKYisxBtUD2yswptv+3DuPp5YsgtBsCQW+zgHMOHdGL4nteJ+2IGB579CG2QHkNmIe1eup8T87+mqrhC6jjaoasVD/MNxqPLO5Po9v5UXOzCGrLqj4vhOvL17WMYtOs1Bu98lcTZn9oaGbZ3C/PDs0kIpeev2q5V3qSOa4Te2YWiU6nSkjM71J46Aru3oOR8hqOOWumtC/KhopYOF7072uCa6/bvdy0N79i6iLtPvk/RqTRbQ8D+vevLQ9pgnzr5Txekp+RcBv5dmqHxcUep1RDSvx26EKkz5Rqkx5hZgE+35lTlFVP6e1qdjpZrsB6jXdk2lxlQ6x0HToJHdCdz7T6Ha52/eZ7Oa57DXG4gfcPh22Yje9zC/NC3bkRp4iVq4xKkx2RnD8lv1e1E3giuwT4Y7GQZsgpxDa5tp5ow13ygRraTLsKfvlsX03PtC+hrdfYB3KKDUHu5k79XGkgzZhXgWstOrsF6B/nmWvL7bF1Cj7Uv1pHfbukk+mxbQpNnRtUbt1uxU+1nb1f6CgrBVgay9pyi4LjUaHML8UXhqqHr5kV0+Po5rGbLn+bXajm/5vxyiOpKE31PrqRP4gpSP9hAdXEFAAqNmj6JK+h/8VOiZ4z+wziHDelIdsLvtgZ7m2kjyEk4w293vsTW0YvpMG8sSq1LnefsfbAlrwiVnzfqQF9EqxWllzsRX76K971DcOvW9rq6vcfEU7Gnbl3nGtsUQa3CnJ5V554mWE9VZk19WpVVgEvwjZcDTYgv7Xa8RadjH5Lx3nqqcooknfWUCe2flAn7POvTPoaBu19n4M7XODHrE0SLFbeIAEwFZXRcNon+WxcT+9ZjKHUudXTdTPlwiw4GUaTrmufos2UxjSYMcpDV0HkWwC3IB7G65tCPiqxCdEH16LSvv7MKcbML03nWGO4/vIwmo3pw9M0fASg8k06jge0xZhbg1T4GbZgfFpP5hn24W0wwiJKv7rl1CdHyzFvF5RzcYoLRhvsjKBX4x7XFvhq6XfWpNkhPZWYBak8dYYPaU5aeW69d7Ns1lXa209Zq12jt2jX+HRszbOsiIoZ0ss1KA1gtVvp8/DR3/LaAxvfH2d79ZttO2iAfwu/oxIX/bKceXIGjwEFgZH0BnPzv+SfvObwsiuIpAEEQfge2i6IoCoJwCogEGgF3A4iiuEOeMfQE+gD/kq//KghCkSxvANAROCKPAGqB3IaMQNbXO3FrEkrnLUswZuRRcuQCotWKoFISOn4Qhwc8hyEth6aLJ+A3eQz57317U/K9RsTh2qYJaeNm/3ngfzAFicmcW7WRpuMH2UYxbwV7R3/lt6Nc+e0oAV2b0XbWaFL+sx3PJiFc/e0YBjuHeascnPI+huwiGt3dk7Zz7yNiTC/Sv/+T5Xz1UHg8ma39ZuPRJITOyx4ne0cSVnnGValzofsnT5P67R7UXvUssboJPJuGEjvvPvbc96rDdUGpoOsHU8ncfgLxT2ac/hIibBo0F7WnjvifX3IYNf4rlF7K5Oz7vxC35jmqK00U/Z5Wp0MdMqonmWv3X0fCH+PVoTFWg4nycxkO14/ct4TgUT1oMuc+Anu1InvP6b8ch/pQ6Vzo/fE0jr34FZZbtFFDYsopZkvHpzAXleMVG0XXz55lR99ZttlVQakgZuIQys5nUJl+8+7YlFPMto5P2uR3/mw6u/rOpLrcwPEnVmDMLkLp5krnT57BOqYP2d/Xvy/t74RoFW1loM8nT+PVLIyS8xkIaiWixcrhoS8QMLQzTeaOpaDukq568WofAxYru9tORu3tRuf1L1O45xSlJy+T0PNZDJezCRrVg9bLJpOy/yy5h87XKydyZHcuyTNbAMF9WxM2uD0tJg8FQOmqxi3Ul9JLmX8SScl3CAoB11aNSX/oebxGDcT/2YdQR4ZiTr3qENzzrjhcWzch/f5ZDteV/j4Evz6DrNlvOTr220RVZgEn+k9HE+hD889nUfDLAcz5Jbcst+h4Mtv6zsKjSQgd351M9o4kBJUC7zaRJM35nKLjybRb8ACNp95F6Zm0v6xHUCnQd23G3iHzsBhM9N62hMrLObf8/rW5Xp69XRx5/XuOvP497aYMp/WEQRx96yeOv/cL8Z88g/8dnVFo1JSeSr2pmRpBqcSnazP2xc/FYjDR9Yd5lJy8TMHe0/w++xPar5qGaLVSlV+KptaM3s1y3fpUIdWn5z7dTNig+mfdb5Rr2b/wVCo/dnma6koTQze8Qofn7+HyT9LgZeHJyxx98SsqrhYw8JvZlF7KpNpQddM6Or3yb44v+uZ6Za4RcBWIBnYg7T9Mri/g3wLnnsN/HCa7/1vtflv5a51eAfiPKIrt5L9moii+/IcPCMLEgQMHLkhISBizwSDlbZcQX0zZRQ7hTFmFuIRKs3uCUoHKQ4e5sAzRYuXii19weMBsTj70JiovHYbkLNxbRwJgSJOcdO7PB9F2aAFAdU4B6uCaZaKqID/MOQXUxq1HO/yeuJcrk+bblr78T7FWowupmeHUBesxZDnayZBdZJu1EZQKNJ46qgrL6xXXZPwghmxdzJCti6VRMX8vMjYfIzy+A24hegzZ9ci2G7m1D2PML7Ut19AGeGMqqLsMIvfQedwjAqiuNOIW4U/jhwcx7PBSGt3dE4+YYGLn3GsLW1krHuo/iIf9+wGUp+ZQVVyBvp20HEcbXH9ctH8iv+xiJtUVRryaS/tnBJWS7p88TfpP+7i68Qi60FppcRM6tMF6enz6DIefWklFmmODveMbj1Ceks2l1TttNrDpqJXeldlFuNXSYSosx5BVc93+/ezzh7m0ksrsQjSeujrvXV8eMmQV1cl/ldlS5z5lzW42D5nH9n8toKqkgtKUbACM2YW4hvoRdGdnstYfQBuix5TtOCBgzCrE1a5sqz20mAvLbPdDRva4bsfScCUPc4XJttTudtgIpLTu/fE0Un/az5VN9a8aMGUX4mJnD8lv/bXBDmNWEVo7WdpgPcas2naqCXPNB1YVlmGtqpaWawElJy9TkZaDe0yQ7bm2bz5KxeUchyWOrsG+GGvZyZhV6CBf/Qfy3WKCpWdke1kqjGSs3Ydn+8Z14nYrdqr97O1K32uYSyvJ2X/Gtv/HmF9i8/W5G4/gGub3p/lVJefXoH/1JH9HEmK1hcDh3VD7etDpxxdQubliuCyVh+y1+7EYqwjo0bLe+Lro3fFrF83V7SdqLgoCex5717bfbG3npym9lEn3dyYydOsi4r6cIb97jQ9W+vtQXVAi1WtKFRUJxxANJhQeblSlZeLaPMpBr65HO3wn30vG468gmmvqOoWblvBVr5D/zn8wJtXfma3KKkQTUlOfaoJ9Mf2FQb+qnCIqz13Bs5tUT9dXJmoPJtYuE9fyrD3X/Lhn8zAMmYUYsgopkmfdsjYcwis2qo6umykfxsxCCg6eo6qwDIuhioL9Z3GLCrQ911B5Nnbm3dJM4uZFVOYWI6hqdvC4BeupzK5Hp339HaynolYYgEtr9xN1h7Qs2Fxu4Mhr31GSlELS1PfQ+HqiUKlu2IcbswooPHAWc2EZVkMVedtO4NkmEoDcLYnsv2MeB+58kfILGQ4rWG6lPg2Ka8ugrYsZtHUxxtxiWs28m/KUbM5+vFmus+raxb5dYx/GUKtdY5TbNdF392TIuhcZtmURRWfSUbqocfGRZjFdfT0xZBdhKijlym/H8G0f85faTr5to+j1wVRGHnqHiGFd6LJkPGFDbEttr43spAC7gPZ1EtLJ/5x/cufwz9iLvCxUEIR+QL4oiqXAHqQlqAiCcAdwbZ5+OzBaEIQA+Z5eEIRGf6RAFMVV27Zta9OrV6+C0c26IaiVBI7sQf5mxwZZ/uajBN/TF4CA4d0oSvgdAIVWg0Jekqjv0wax2krFhauYsgpxaxqG2ldaYqLv24aqS9LKVcPJC2giQ1GHBYJahdewPpRvdzxF0LVlNMELp3Jl0nwsBbc+ink7EKtNeEQF4Rbuj0KtJGJENzK2HHMIc3VLIlFj+gAQPqwLObKd6uPi51vZNuIVdt3/Old/O0rkmN6EDGxPtclMVWmlbanDNQy5xZjLDPjJG+GjRvfiymZJf8aWRKLv6Q1A9D29bdevHUwC0mldSo2KnD2nsRjN7By1kI09p2MqKifj18OcXFwzq5u5OZHIe6R4hP1JPEDuxMhLTIpOp+EW4Y8xtxhBrSR8RDeyNjvaKWtzIo1k+aHDupAry9fJy1xAWj7q0TiECvlEsk5vP0bZxatc/HATRSdScI8KksLLOjJr6agdh2s61J46en05g1OLv6HgyAWHZ1rNHoPaU8eJF7+k4ESKQ3o3GtGNjC2JDuGvbkkkeoxk94hhXchJOGNLj0YjuqHQqHAL98cjKoiC48mUp+fhGROMW7g/ag9X/Do24eq243Vk1peHMrYcI6KWzEK5keXiKy2F0YX6Ej60M2lyZ67keDIeLcKpTM/DlF9C8Mge5NSyU+7mY4TJdgoa3pUC+7QWBILv6kam3X5Dpc4FF7kyLT15GfcIf4wFZbfNRgDd3nqU0ouZnFu1ietRdjwZXXQwrhFSHgiox2/dKMUnknGLDkInywod2Z3sWmU7e8sxwuUyFjKsK/n7JDtpfD1AIe3V0kUE4BYVZBtwaD57DGoPHceeeA+36CC0svyQeuTnbKlJh+A/kV+ZliOXOcm/CiolgYM6UH7uCrW5FTvVfvZ2pK+L3gO1PCCidFUT3KeNbRYubf0h3JqEoo3wR9+nNYgiubXya97mY4TIdgoc3pVCOb8arxbY9h9mfrubqtwSjj/4BgoXNUo36RRSn+4tULpqHJYE2hNxZxcytp2wrVQAyNp1imYPD7L99mktVakHnlnFxkFz2fnAm7b4XvPBXqMGUr79IMZTF1C4atD1aA+uGjyH9UXp4YYpuSadXFpEEzT/STIen4+l0K6uU6sIff8FStZtp2yz45JuhzQ6cQltdDAuEQEIahX+I3tSuOXIdcPbownWo3DVAKD0csOzS3MMcloUnUjG3a5MhI3sTlatPJu15RgRcpxDh3UlT86zuogaP66V/XjllXxMeSUYrhbgLg9u+PVuTdmFDFv5+yvlI2/XSTybh6PUahCUCtwaBaDy0NlkNVSeTflmN5sGzeXH+Lmk/nYMtU7KYwEdYqgqq6SyVv1dmVuMudxAgFx/Nx3di1Q5jp52ndlG8R0oTpaWD2s8deSfScMtOojop0ZQePgcgUM737APz9t5Eo8WEShk2+h7tKD8gtSv0cjLJ1VebvjHtUWhVN6W+jT5861sHTSHrYPmoHJzxbNxCCde/BK/DjGYb6BdE1OrXRMjp1PMmJp2TdrGI2wYPJcNg+dSfPEqKjdXTEXlBHRvgbnciCG3GKXWheC+rSk+l/GX2k7ruj3Luq7PsK7rM6RvOMzh5z+/tg/ZB7i2rtwP6Amc4e+M1dKwf39ThNp7dv4JCIIQCWwQRbG1/Ptz+fcP1+4hLR/9FGnquhKYKIriSUEQfIE1SHsF9wODgY6iKOYLgnAv8DxSp9kMTBFF8eANfMpiaGVy5q8oFWSt2UXq0rVEzxpDaVIK+ZuPoXBR03LFVDzaRGIuLuf0pGUY03JxDfen3TdzwCpiyi7k7DMrMcpHQoc+OJDwx4Zira7GmJFP4fNvYCmWRhXd+3UicN5EBIWC4h+2kv/+t/g//W8Mpy5Svv0QEV8swrVZI6pzpdEdc2YeVybNByDym9fQRIejcHPFUlRG5vPLqNibSJNDy2/Y/jNfepUjx09SXFyKr96bJx55gLuHx//pc/ue/oEOr8jHPX+zmzPvrqfNzLspTLrM1S2JKFzUdH93Mj6tG1FVXMG+ycupkA8fGX5oKWp3LQqNCnNJJTvHvkpVURl9vpiBUqNGG+yDoFRSmVnA/qdXUXjyspQwW6WTtwD0sVH0WDoRpauGzJ1JHJkrbUPV+LjTe+WTuIX6UnE1XzqOubiCllOGET26F9ZqCxZDFYkL11B86DzB/dvajq0uOp2GMbeYquJyCpMukynHo9vyyXjL8TjweE08hh1eisouHrvHvkrFlXz6r3sBhUqJoFRQfjkbz6ahCAoFqd/s5tyy9bSceTdFSZfJkuV3sZN/SJYfMboXzaYORzRbEEUrZ99eS+Zvx/Dt0pS49S9RbHdoRsbGIzS6uyeCUsFlWUcrOS3sdVxLi4OyjhZPj6T5k8MpT6lZerTnvldRaFQMS1xO6cWrWE3VWAXIPXCWkLi2CEoFyd/s5vd3fyZ25t0U2KV3j3cfR986ElNxOfsmr7AdNtPqqbuIua8vosXKsRe/JHPnSbxbhNPnk6elUUy7T1ncaB5q+dQIou/ri2ixkPjiV2TtTAJgwNoXcPHxwGqu5vgrq20dSi+LhS7fzcWjZQTVFUYy1uwkeek6mswaQ0lSCrly2W67Ygqectk+PuldDHLnRt+jJc3mjeXA0BdsttL4e9Hpy1nSARYKBSXpeXg2DkFQCLfFRv5dmjJ43YsUnUm3jWZfWfQ1BdsdO9EAvgPa02TBQ9IneNbsJG3pWqJm3UNZUjL5m4/h0S6GNp/NQO3thtVoxpRbzOG+0+vIKRNUBAxoRxu5TKSv2cWFZetpPms0xSdSyJbj0WHFE3i1boS5uIKjk5ZTmZ5L8J2daT5rjHS4h1Xk3Bs/krM1EddgPfHHV1B24SrWKjMqdy0qnQvVlSaurNnFxWXraDZrNMUnLpOzRUqH9iuewKt1JFXF5STa5Heh2awxWM3VYBU5/8YP5GxNRKlzocfaF1GoVQhKBXl7TpH64uf1Hr5zK3ayf/b8N3tuSxnovmwSgkKBoBBI++UQp99ZB0gNzfg1s/Bo2QhRFMn4agfn535OjFwX5cn5tbVdfj0p51elzoVWyyZLJzkKApnf7CL1/Q1Ez7ibqCdHSIYQRTK/38Pu56QTQ+O+nMHBGR9jkA/UGPTDXE6v+IWsXSdttlO6qun0ygP4dWqCoBAoT89j10N1T8u298HKbPlTFiXluPXtRPBr01F66LCUlFPw4XcovTwwnr5I+Y5DhH++CJem/4+98w6Pquga+O/uZje9F9JJoZeQ0AmhhBZAqqBSRMEGKBZ6tSEgoqIIKqLYERWpIr0TekuQXgLpvZdNdpO93x97s9kNoWf5eN93f8/D85C7M2fuOWfmzJ075QZQnqmbDdKkZJI8fi4OAyLx+nAiZdeqllymzviMsotxAGQXVK04cO4eRuBc3acsMlbvIWnJOvynPUNRzHVydpzELjSYRt9Pw0LyryYzjzNdJuLYOYTA957XLZ0TBFK/30r6r7sASEdJne6hhEhtIn71Pi4v2UhjqU1UxtjWy17Vx/HjUp31GxpBw9cH6OvsxcXrSd2meyHh2LQuLRe/jExhgSo+nZi3vkGTX4xH91CaztV9yuJ+2geAz5AI6r8xEFEUydgdQ/bhC3pZV2spbt+uzga81IsW4/thW8cJUSuiLlLxz4iPyJL67yHb57NWOsHbLSSQyMW6/jtxXyyH5uj6754r3sApyAtRFClKyuLAzB8oSculTst6dP18LJZWShQOtqhzCkhctee+Yrj3kAiC39DV/4xdZ7j8ge6k8dDlr2PfRPei49ritRQVlREq+bo2+1N1XhFyG0tErcj55VuI/fgvAPrtmM/mXjq7uIYEEv7ZK7rPTOyN5bhkF0tnOzpXPtckZbF/nO65puHonjR8rjvaigoqSjWUpOXi0sQfbXkFgiBQUapGsJBj6WTL2rDXgft/djKkw2evkLzrDAn/nODZlF87At+gW+EnAz4HjI+QfswoPbHWpIMkqzZDhLunevT8Rw4OH0d213nGpIb0srvzssSH5X4Ghw/KXyFv3z3RQ1KBaduZ4hG0l3s5IvdhMbUWasH08U5mYi0cK0z/Vi9Xbvpt314V975n5EEoFEyvg6l9DWArmtbfqXKlSeUDuFeYfgtBhonrbGu72tvLfTsMB4emIB3T+1rxCNpEgcy0vVHRI1i75qcxfZsoNrGdVLJH0J8+gqHAsym/PpYDoTtRenyNaQeHbZ96LG3yn3wgjRkzZsyYMWPGjBkzZszUPo/x5yZMyX/znkMzZsyYMWPGjBkzZsyYMXOPmGcOzZgxY8aMGTNmzJgxY8YQ86cszJgxY8aMGTNmzJgxY8bM/yrmmcNa4qJSYVL5V9XOd0/0EMQ+gsNihp79wORlHG827e6JHoLMR3DQgIdQdvdED4mNUnP3RA9BYpmtSeUDaEx8+FCpIMNHVmrSMgZkHTSpfIArDZuaVP66fA+TygdwewQnfrtUmLZNFD6Ck6YCtI/i8A3TPjZcKnAyqXyAXLlp34s/ikPFMh5BIa4mbndBGtO2OYBCwfSGGpmz36Tyv3ftalL5ANrH8liUxwDznkMzZsyYMVOJqQeGZsyYMWPGjBkzjxvmmUMzZsyYMWPGjBkzZsyYMcQ8c2jGjBkzZsyYMWPGjBkzZv5X+Y+bORQEYQDQRBTFhYIgvAcUiaL4yf/zbd1Cp/dHUbdbKOWqMnZPWkHmuZu3pHFvHkCPxWORWymJ3xPDwXd/0f8WMronzZ/vibZCS/yeGI4v+J2O74/CX5K5d9IKsmqQ6dY8gMjFY7GwUpKwJ4ZDBjIBQl7pQ/jbI/kxZByluUV4t29M1MqJlCRmYmFnhdLeBnV+MddX7+Pisr+N8sqUFrT/YjwuzQMoyy3i8LilFCdloXS2I2LFm7iEBnHjzwOcmv2TPk/XVdOw8nBCZiFHZuuAtjjrnuw3Z8FiDhw6jouzExt+XX5PearjFBlK0AdjQC4jfdVukpdtMPrdoX1jAueOwbZJXS6P+4zszUcBsPR1o9H300AmIFNYkLpyK2k/79Dn84gMofkHzyHIZcSv2svVGuzUcul4nEICUecWcXLsF5QkVult7eNK9wMfc+mTtVz7+h9klgo6bXgHmdICwUJO/ubDJH7yh16HwLkvgFxGxm+7SV62vpoOTQiYOwbbxnW5Mm4x2f9U6uBOw++nIQgCgsKC1O+3kG6ggyH2XVri8+5LCHI52b/vIOPrtUa/27Ztis+7L2HdKICbr39M/pbD+t+8Zo7GoVtrBJlA4cEYkt/7FgD3yBY0k2yUsGov15ZtusVGoUtf1dvo1NglqBKzsPZzI/LApxRdTwEg99Q1/p2+ErmtFR03vltlQy9Xso5dwr6BD4Jcxs1Ve7lSgx9aG/jhuOQH57Bgwj5+UZdIELj0yVpStp4EoN4rfQgYGYkoimgu3SRu4jLEMt2+GMeuYdT94AUEmYyM1btIreYL+3ZNqDv3BWwa1+Xa+MXk/HNE/1vbxDWUXEoAQJ2cxZXRH9boC4DPFs+lT+9ulKhUvPjiRM7EnLsljUKh4Isl8+jSJRytVsvb73zE+vVb8PPz5oeVS3B0ckAulzF79odwI73Kbh1b4zp9PIJcRsG6beSv/MNIruNzQ7B/sjdiRQXanHwy3/mU8tQMAAJjtqK+ehOA8tQM0t941yhvt/dHERipi09bJ68go4b4VKd5AL0/1cWnG3tj2CPFJ/fG/vRcMAaFrRUFSZn888bXqItUeLYIotfCF7EAbDyd0ZZrKc0uIHriCnJqkO/aPICIz3QxNWlPDMff0cmv268toZOexKm+N5ufeJfsszcACBocTrPxTwCgFLXYNqlLbM9pKDycTBI7AJPEcaW9Nd2WjMfd2wXBQk7y15tQp+eaTIfwuVU67Jt4ex26flalw2HJF62nDCUgqiWiVkSVVcC+Sd9Qkp6H0tGGrp++gkdjf6zqOFGWXcCNH3Y+dHwFUDjYELr4ZRwa+oEosn/KtwQN7ICvpEP0xBVk36Y+dTKoT8cqdZgzHL+eYWjV5RTGZxA9aQXqghK8OzWj87LxKB1sECtETrz3C1d/3XuLXJfmAXSU5CbvieGEJFfpZEvnrydg5+dOUWImB8YtRZ1fUnU/LYLos+ldDry6jIxtJ+j2/iiaPBmBhZWCwtQcoj9ew+W/jxmV9aBtDsBCgOKUHByDvWvVTpbOdkSueAP3FkHkHDyHbT1vBLmM5FV7uLl0o5FsQWlBs2Wv4RAShCa3kLOvLKE0MRPBQk6TxWOxDwlEkMtJXXOAm19sAMB/bF98RnQDQJVdiJWnM4JMqLV+IurEEsqLVIgVWsQKLbTtbCRz8eK59O7dDVWJihdfmkjMbWL4kiXz6NK5A1qtlnfeWcT6DVsAGDqkH2+/PQkPD3eUSgXliTkcmbiCnH9vtb1L8wA6fK7zb/KeGE6+XVWXOi2fgK2vO8VJmRwcq6tLDvW86LD4FVyaBxDz0RpsfVzxkdrBsbd/pvELvXBq6Isoihye/C1Zp67dd31tOu4JAp8M15lOLsOxvg9/hoyvvOU3gZcBAfgW+PwWpR4jRPERbHi/C4Ig9AaWoNvO/J0oigur/e4P/AQ4SWlmiKK45WHK/I+bORRFcVN1wzxu1I1sgVOgJ792msze6SvpsmB0jem6LhjDnmnf8WunyTgFeuLfNQQAnw6NCezVitVRs1jdYwZnvtmCf2QLHAM9Wd1pMvunr6TTbWR2XjCG/dO+Y3WnyTgGeuInyQSw9XLBr3NzCpOMB2hpxy+zPWo2iLC979ts6TqNugM74FDfxyhd0PCuqPOK2dxxMpe/3UqLOcMBqCjVcPbjNcTM/e2W+4keu5RtPWexJXI6gkyOoLy3g0oG9e3J8sXz7iltjchkBH34EudHzOdM54m4D47AuoGvUZKy5Cyuvvklmeujja6r0/M4228WsT2mEttnJj6vD0JZRzoQSCbQ4sMxHBmxiN2dp+I7OBz7BsZ2qjuiK5q8YnZ1mMT1b7bSRLJTJc3ef5b0PbH6v7VlGqKHzGNv95ns7T4Tp8hQ7FrW1+mw4GUujJxPTJe3cBtUgw5JmVx7cxmZ640PNlGn5/Jvv5nE9pzC2b4z8JkwGEWdGg41ksnw/WAscc+/z6Uer+E8oDOW9f2MkmhSMkmYvITcjcab7m1aNcK2dWMuR73BpZ6vY9OiPnbtm4FMRvMPx3BsxEfs7TwF78Hh2FWzkd+ISDR5xezpMJG4b7bQeM4I/W/F8ekc6DGTAz1m8u/0lQBUFJfqrx3oMZOSpEycWwZzaMQidt7GDwEjdPV1R4dJXPtmK80kPxRcSmRv1Bz29JjF4eEfEfrxiwhyGVaezgS/FMWeqNns7jodQSbDdWCE3k4BC17m8sh5nO36Jq4DO2Fdv3p9yuT6W0vJWn/rITPaUjXnek7mXM/JdxwY9undjfr1AmnUJILx46fz5bKa086a+QaZmdk0adqJ5iFdOXDgiHT9Tdb89Tdt2kYx8tlXWfrFgqpMMhlusyeQ9upsEge+jF2friiC/I11uHiN5GETSB4yjqKdB3GZ9JL+N7FMTfJT40l+avwtA8PAyBY4B3iysvNkdsxYSc/5o2u87x7zx7Bj+nes7DwZ5wBPAqX4FLXoJQ4s/IOfes3k6raTtBmrG7BlXU7il35vc2rhn+ReSkSQCxyZ+QMdPqxZfvsPx3B42nesi5iMQ6AnPpE6+XmXktj78hLSj142Sh+3/jCbes1mU6/ZXJ2wlNKEDIovJpgmdoDJ4njT53uSezWZmO5T+PfJdwl49zmCF75sEh38uul0+D1iMgemryTiNr7o9OEYDkz7jt8jJB0kX8Qu/4e/es5ibdRsEnafodVbgwFo+fpAsi/Egyhy9LlPKL6RXivxFaD5vOfI2BPL7k5T2NN9BrZeLjgEerI2YjKHp6+8bX3q8OEYDk37jrXV6lPKgX/Z0G0GG3vOoiAulZAJ/QFwCPYi93ISqwLHcGTKt7T94Pka5bb/cAxHpn3HBkmutyS32Wv9SYu+wIaIKaRFX6DZa/31eQSZQMvZz5Cy/19A1+a8WzUg7Wwcfw77kLL8Etq88gRKO2ujsh60zf3cZzb/fv0P3p2bsa7L1Fq1U0WphtOL/uLq+7/iHN6EMyM+5HCnSXgO7ohtNX/7jOhGeV4xh9q/Sfw3W6j/tq6vqDOgPTJLBUe7TuVYrxn4juqOlZ87lp7O+L/Uh2NRMzkSORXn0CBurNpTa/1EJQeHzGdPj1nsjZpjJK93727UqxdIkyYRjH91OsuW1hzDZ854g8yMLJo260xIi0gOHNTF8Hr1Apk2bQJzP1jMiZMxNGrckWPTVtL2NrZvu3AMx6Z+x8aOk7E3qEtNJ+jq0iapLjWVbF+WW8zJt3/hwvItONTzxj7Qk40dJ3Nk+kq6rniD5L1n2dhlGpt7ziL/qu4l7f3W1/PL/2Fzr9ls7jWbMwv/JP3oRdR5xQDN0A0M2wItgH5AvRoVMwOAIAhy4EugD9AEGC4IQpNqyeYAf4qiGAYMA7562HIfq8GhIAgBgiBcEgThR0EQrgiCsEoQhB6CIBwSBOGqIAhtBUEYLQjCshryBguCsE0QhFOCIBwUBKGRdL2/IAjHBEE4IwjCLkEQ6kjX3QVB2CkIwnlBEL4TBCFeEAQ36bdnBUE4LghCjCAI30jOuWcCe7Xi0lpdh5t+5jqWDrbYeDgZpbHxcEJpZ036mesAXFobTVBUawCajerBqa/+RqvWnTynyi4goFcrrkgyM+4gU2FnTYYk88raaAIlmQDh7z7L0fm/gyjecs8uYcEU3UynOCETraaChI1H8Y1qZZTGN6oVN9YcACBx83E8I3SnIFaoysg6foWKsltPHisvUgEgWMi5n8MlW4c2x9HB/t4zVMM+rB6lN9IoS8hA1JSTueEQLlFtjNKUJWZScjEesdqaclFTjijZXmZpgSBU3bhzWD2KbqRTkpCBqKkgacMRPKvZyTOqNQl/6gYIKZuP4R7RTP+bV+/WlCRkUng5yShPRYnuhFKZQo6gsAAR7MLqobqZRllCOqKmnKyN0bfqkKTTAa2xT2/RQVaz8W1C61N2MxV1oq6M3L8P4tiznVEadVIGpZdu3lIGoojMUoGgsECQZj01WXnYhNan+Eaa3kYpG47gaVAPdTZqRdKfurqUWs1Gd8M2yBNrb1cKLiYZ+cGrmh+8DPyQbFBGhUqte9sLyKwUYKCWIJcjt1IiyGXIrC3RpOcAOl+U3kzV+yJnYzTOUW2r2SkT1cX4h9qj0L9/FL+s+guAY8dP4+jkiKfnraeBjn5+GAs/WgqAKIpkZ+dK/wcHBzsAHB0cSE2tmjW0bN4QTUIK5UlpUF5O8db92EaGG8ktPRGLWKqri2VnL2JRx/2e7rter1acl+JTqhSfbKvFJ1sp5qVK8en82mjqSfXCOdCTpGOXAIg/eI4GfXX1vLxU5yv/qFYkbDsFImSduY7S0RbravKtPZxQ2luTeVon//pf0fj31snPv5ZCwfXUO+rgNjiCrA2HTBY7ANPFcVHUDwrktlZoVWWobqSaToe/JB1O30UHyRdX/oomQNJBI/UJABbWloiSHk71fSjJyKfoRjqZB85h4+tG2s7TDx1fLeytcW3fiPjf9kn6VeDdqRnXJB0yT9++PikM6tO1v6KpK9WnlAPn9DEk4/R1bLxcAHBp7MeVVbpybmw4giCXYevjWqPcrBrqqV9UK66v0el2fc1B/HpX+b3RC71I+OcEpdkFgK7N5VxPJenYZVJOXUVpZ03ujTT94A8ers0B+HYLpaJUU+t2KleVkXHiCkpPZ8oLSlDF6+J42obDuPc2rqfuvVuT8qfuxWTG30dxqfS3KCK3sUSQy5BbKdFqyikv1M2yCnIZMislTq0bUKFSU3A+oVb7iTvRv38vVv2qi+HHj5/Gycmhxhj+/PPP8NGiZZIqVTH8xRdG8PXyn+jWLYJVv/5FZmY2WXexfWVduvFXtL7O+EW1Ik7SK+7PqrpUll1AdmwcYnkFTg19uCG1g/yrKSgdbEjeHQOAVlOBpqDkgetrJYEDO3Bzg34VTWPgGFAClAP7gSfvzbL/T2i1pv13d9oC10RRjBNFUQ38DgyslkYEHKT/OwIpD6v2YzU4lKgHfAo0kv6NACKAKcCsO+RbAbwuimIrKW3lyDkaaC+NqH8HKr918C6wRxTFpsBfgD+AIAiNgWeAjqIohgIVwMj7UcDO05milGz930WpOdh5Ot+aJjWnxjROQZ54t23I0E3vMXjNbDxaBGFbg0zbajJtPZ0priazMk1Ar5aUpOWSfTHhlvut06oe4V9NwKGBDw7SW7WS1BysvYzlW3s6U5Kiky9WaFEXlKB0sburPbr+Np0nz34NWhFRXXzX9LWB0ssFdUrVm3V1ajaWUsd0T/m9XQnd8ymtT31D0pcbUafrAre1lzMqAz+UpuZgXU2uYRqxQkt5YQlKF3vkNpbUn9CfS58YL9sEQCYQuWsBfc4tJ39/LEVnrmLp6YI62VCHHJSerrfmvYMOLXYvptWpFSQv24BG0sEQhacrmtSqMjSpWSjusYyS05cpOvIvzU78SLMTP1Fw4Axl15JQeLpWs1E2VtXqkpWXi5GNNJKNAGz83em880PC17+DS7uGt5TrPSic3NPXjMpQ1eAHq2p+MCzDOSyYHvsX0WPvR8RMW4lYoaU0LZerX/9Dn1NL6Xv2KyoKS8jfr5uBUHq6ojYoT52ajeI+6pPMUknTrYto+vdCnHu3vW06H29PkhKr4npyUio+3p5GaRwddX3A3PemcfzYNn5f/Q0eHm66ax98yogRT3Iz7iR/b/qZN9+qeqtt4eFGeVqm/u/y9EzkdW7va/sne1MSfUL/t6BU4vP7Mrx/XYJNN+NBpZ2nM4WpVfYpTLtNzEvLqTFN1pUk6vXSPbQ1eKId9ga29QwNJnBQB1rNeoYjM35ArNBSnJqDTTX5NtXiX01p7oTbwHCyNkSbLHYAJovj537ciVM9b9rEfkvY3k/JWHOgWuyoXR2KDXS4V18Y6tlm2lOMPL6E+oPDOSnFw5wLCdTtEYYqJRunsGCsfd2oKCt/6Phq6++BOruQlkvG0nXnAkI/fRlbb9d70qHEQIeS29Sn+sM6k7T3bJXeklz/J9qgKSzBytXBKP2d5Fq7OaDKyANAlZGHtZsur7WnM369W3P55936fHaezqSdjSOwawgWVkpKsvLxbd/IqO08TJsbvWshgf3bcfbLzfpBUm3ZqRKFky0VxVUvC8pSsrH0vLWvKE029rfCxZ70v49RUVJG57Pf0On0l8R/vZnyvGLK0nK5+fVmOp3+itBVM9AUqsiQZltro5/QJRSJ+H0GkdvnE/BsNyN53t6eJCZVxfCk5FS8bxPD33tvKseObmX1b8v1Mbx+/UAa1A9iyJP9mDHjDXr16qqzfUoO1p41PJMZtjODNFbV6pKVm3E9BFDY2+jrq52/O+WlatoveoF+2+fR4eOXsLC2fKD6WoncSol31xDit+j7kXNAJ8AVsAH6AsZLlcxUxwdINPg7SbpmyHvAs4IgJAFbgNcfttDHcXB4QxTFf0VR1ALngd2i7tXiv0BATRkEQbADwoE1giDEAN8AXtLPvsB2QRD+BaYClR/9ikA3WEQUxW1AZe/XHWgFnJBkdQeCalG/uyKzkGHlZMdfA97j0PzV9P5qwkPJs7BSEjZhACc+/euW3zLP3eTX9m8RM/c3Cq4k0/n7SQ9VVk3sG/ER68NeA0FAUFjfPcNjgDolm5hukzndYQIeT3dB4eb40DIbTR3CtRVb9LOERmhF9vaYxfawCdiF1cem4cPHS3VKNrHdJ3G6w2u4P921VnQwRFnXC8t6vpxv/wLn243BPjwE2zbVVzvcH2Xpeexq9ToHes7k/Lu/0PKr17GotkzKZ1AHco5fvo2EeyP3zHV2dZnG3t5zaPDGQGSWChSOtnj1bsW2tm+ypcVryGwscX2y892F3QNn2o7lfJ9pXHvtM+q+/wKWdes8sCwLCzl+ft4cPnqStu16c/ToKRZ99A4Aw54ZxM8/ryEgqDX9BzzHjz9+AULNs8Z3wq5fdyybNCDvhzX6awlRz5I8bAIZMz7Eddo4LHy97iDh/tg+9VtCn+vBs/98gNLOigpN1ff60mKuk370EoenrqT5hP7ILWv/m7JuYcFoVWWUXEq8e+K7YIrYAXeO435dmpN9IZ4TLV4mpvtU6ozopluB8ICYSodKTixaw6q2b3J1/WGajekJwJkv/8bC2hLvPq0JfqEX+edu3rpa4Q7cLr4KFjIcmwdw48dd7Os5i4qSMuwDHrz9GRLyxgDEci1x6w4ZXXds4EOrWcPIv/ZwL/ArJ4fbvP8spxfcuuon/WwccXtiGLH+XVwb+pJ5MRHtPa5cuFub+7HHDNKPXyF4SMeHbnO3s9PD4BBWD7FCy4EW4zjY5nXqjuuHdV0PLBxt8ejdmug2E7g4ZQWChQy/IR0fqIya+gmA/QPeZ0+v2Rwe+RFBY3oSEdHuLpKMqYzhR4+col37Phw9doqPFuq+NS23sKBevUCOHTvFvPmL+fqrRSgcbB7o/g2pYcGYETK5HIWtNQn/nGBz1BzKS8poNqH/nTPdpQy/XmFknLxSuaQU4CLwEbAD2AbEoJuAeXwRtSb9JwjCK4IgnDT498oD3OVw4EdRFH3RDbh/EQThocZ3j+OBNIaRXWvwt5bb368MyJNm+qqzFFgsiuImQRC6ohth3wkB+EkUxZl3u1HJia8ArJyyiP6jnwYgIzYOO++qN/J2Xi4UpRnP2hSl5WJn+IbPIE1Rai7Xt56g+fM9aDI8EltPZ9JOXLlFZnE1mcVpudhWk1mclotDgAcOfu48tV23/8jWy4UhW+exrv+7qDLzASiR3i4KCjlKFztsvFxQpRrLV6XlYuPtgio1B0EuQ+lggzqn6G5mAnT76rTqYgSlDaJGdfcMD4k6NQelt5v+b6WXK2UGb7/uWU56LiWXEnFo35jszUdRpeZibeAHKy+dPQypTFMq2cnC3gZ1TiHOYfXw6deOZm+PQOFgg6gVqSjTcOP7qsMeNAUl5B86h1NkGAUnLqH0MdTBBXVaNveLJj2XkksJOLRrrD+wRv9bWjYKr6oyFF5uaO6xDMfe7Sk5cwVtie57gAV7T2HbshFFJ87jZGQjV0qr1aXS1BwjGykkGwFo1bo6lX/2BsXx6dgGe5EfGweAQxN/BLmcnKOXcDVYTmZdgx9KJT+oaiijksKrKZQXl+LQyBdbfw9KEjJQZ+vS5G45hn3rRmSvO4A6LRulgU5KL1c091GfNFL7KktIp+DwOWybBVEWr1vyOX7c87z4om5xwsmTMfj6eevz+fh6kZySZiQrOzuX4uIS1q/X7Tf/a+1mxowZBsCYMcN4ot+zABw9dgorS0tkzo5oc/Ioz8jCwrNqmahFHXcq0m/1tXX7MJxeHk7KmClg8JHqigxd2vKkNEpPnsXppWFYNm3AcxUWpJ2Nw96ryj72nreJeZ4uNabJuZ7KX89+BOiWuwV1CyX0uR6EDI8EIC8mDlErUl5SilNDX2y9XCipJr+kWvyrKc3tCBzYnqz1ugfX2o4d/jOHY9cimIaCjMwa+obaiOMNn+7Cma/+xh0ovZlGWUo21sFV9ai2dABIPHsTWwMd7tUX1fUEuLb+MH1+nsLJT9ehKVJx4qM/6TDxSU69/jW9TixBUMgfOr6m/H2M0tQcnEKDCP34ReQ2VmCpuCcdbAx0sKmWpt7TnfDrEcaNTccYsGM+AFkxcbg09afpi1FEv7mc8MWv3JdcVVYB1h5OulkYDyf9ElLXkEA6fzUBhZ0VSgdbgp7sSMLhC9h7uXJs2SaOLdvEC3s/pqJUTW5cVby43zYHGLW73Jg4rFztcGroS/bZGw9lp21P37r3TpNXjNy26uWfpbcrZWm39hVWPrr6W+lvTU4hXlM7kr0nBrG8Ak1WAXknLuPQIghRBFVCBprsQkqTsygvUuHapgGJaw/VSj+RF3uDUukey7IKSN16kjdef4nPFs8F4OTJWPx8q9qer48XKbeL4dIBNGvXbmbM6GGMG/c87dq1pKRExc4d+7GQW3D1WhwOgZ7YerugSqvhmcywnRmkKa1Wl8qkutRgdA/qjYzE2t2RoqQsbL1dyUQ3KyxWVOj3tMb/c5xmE/pz+add911fKwkYYLSktJKV0j+ABehmwv5nEUVxBbqVj7cjGePZVV/pmiEvAr0leUcEQbAC3ICMB72vx3Hm8L4RRbEAuCEIwlMAgo4W0s+OVBnScHf4IeBpKX0voHK+fjcwVBAED+k3F0EQ6t6m3BWiKLYWRbF1ye+x/NF7Nn/0nk3c9lM0GqI7yKJOWDDqwhJKpKn3Skoy8lAXqagTputwGw2J4MaOUwDEbT+JT3gT/v1pF9vHL6Ukq4Brm47SQJLpcQeZmiIVHpLMBkMiuLnjFDmXkvgp7DVWhU9kVfhEilNzWNtnDqrMfKzddW+Ec2LicGzoi0whp7xQhf/A9iRJ91NJ8o7TBD6lm0nx69eW9OjzNfqjEgsbS6ykNfKCXIZMaQMVt+5LNAWFMdewDvLC0t8DQWGB+6CO5Ow4cfeM6AZhMislAHJHWxzaNkIlvQHOi7mOXZAnNv7uCAo5voM6kFbNTmk7TuH/dCcAvPu1I+uQzk7Rg+ayo82b7GjzJte/3caVLzZy4/sdKF3t9W8GZVYKnLqEoLqWTFHMNawDvbD00+ngNjCCnO0nH1CHxqiu3/oWuyT2KpaB3ij96iAoLHDu34mCncduSVcTmuRM7No1BbkMLOTYtW9G6bVESmKv6vYFSjbyrsFG6TtO4fu0ri55GdhI6WoP0v5IG38PbAM9KYmv2jfnPTic5A2Ha/RDarUyUg384NOvHZlSGTb+7vqDBax93bCv501JYhYlSVm4tKqP3FpnN4eI5qiu6fqtophrWBn4wmVgBLn3WJ/kjrYISt17LQsXe+zbNEJ1pWqG6uvlP9G6TS9at+nFpk3bGTVyKADt2rakIL+AtLRb4/vmf3bStYtuaWe3yAguXrwKQGJCMt0idXGiUaN6WFlZos3JA6Ds3GUUdX2w8PEECwts+3SheJ9xx61sFIzbO2+S9vo7+nwAMgc7UOjemsucHLAKbUr+z2tJfmo8P/eZzbXtp2gqxSevsGDKCksorhafiqWY5yXFp6ZDIrgm+cymcumdIND+jYHE/rqbmJ93sfGVz/ml39skbD9Fg2cjcQz2xtLZDnVBiX45UyWqjDzUhSrcW+rkBw+NIGG7cZ2oEUEgoF87Mjfo9t7UduxI/XYLsT2m8lfv2dzYfsokcbwoJQvfjrpFMQo3R5QeTig8nGpdh9geU7m57RQNhko6tLyLDpIvGgzV6QDgEFg1a1c3qiV50l5QpYMNWRfisQvypP7rA8g6dhnvPq0fOr6WZeZTkpxN5oFz7O0xi6R1h8iKiaOepIN7y+Db1ieNQX2qZ1CffLqG0Hx8P3aNXsyF77bpDzVKOXiOVjOf4fSCPxC1WjR3kOtmUE8TJblJO04T/JROt+CnOumvr+8wiXXtJ/JHs/FcXxvNgVeXcfr77TQdGoGVkx1eYcFUaMpxDvLk5oF/9WXdb5sDuLE3Vn8gTcbJKzgEeFKUmPnQdqooVVMdVUIGCgcbrKQ47jkonMxqfVzm9pN4P90FAI/+7cmRnjtKk7Nwll4QymwscWxZn+JrKZQmZ+HYsj4yayUFZ65j4+dOaVZ+rfUTchtLLGytAJDbWOLRpTnfrVxFm7ZRtGkbxaa/tzHyWV0Mb9u2Jfn5hTXG8H/+2UmXLh0AiJRi+PLlPzF69Bvs33eYTX9vY8yY4dSvF4TCyfaOtq+sS4HV6lKQpFfQ01V16cqPu9jSczZXf9lD3uUkAqV2YOfnRkWZBoW9brDuFdGU/CvJD1RfART21tRp34jE7aerq165AdMf3X7DW08yfJz4/99zeAKoLwhCoCAISnQHzmyqliYB3SrHyq1xVkAmD4Eg3m2u+REiCEIAsFkUxWbS3z9Kf/9V+RvwCdBaFMUJhp+yEAQhEPga3XJSBfC7KIpzBUEYCHyGbtnoHqCNKIpdpcHfaqAOcATdqUkBoiiWCYLwDDAT3eBZA7wmiqLxlEs1lvk9a2TIzvOep27XEMpVanZPXkGGdHT6M9vm80fv2QB4hATSffErWFgpid8by4G3fwZ0h5J0/+QV3Jr6U6Gu4NC830g/fIGIec/jJ8ncN3kFmZLModvm85ck0z0kkMjFryC3UpK4N5ZoSaYhIw9/xton3qY0t4imz/ek6ajuCOUVyJQKLGws0WrKift9Pxe+2EjzqUPIib1B8o7TyCwVdPhiPM7N6qLOK+bQ+KUUJ+jqX/9jn6Ows0amtECTX8Le4QtR5xbS+ecpyJUKkAnY13VAW3xvs1JT313IiTNnycsrwNXFiVdfHMWQ/lF3zXe82TT9/527hxE4V3eUe8bqPSQtWYf/tGcoirlOzo6T2IUG0+j7aVg42aIt1aDJzONMl4k4dg4h8L3ndWskBIHU77eS/usuADJRUqd7KM3njtJ9ymL1Pq4s2UijaUPJi4kjTbJTq2Wv4tisLpq8Yk6MXUpJgnHn0GjKEMqLS7n29T84NPaj5Re6zwsIMoG8TYdI+ky3nM+pW0sC545BkMtI/30PyUvW4jd1GEWx18jdcVI3I/H9dCMdYrq+hWPnEALeHa3XIe2HraT/ulNfvo2yapBuH9kKn3deQpDLyPlzF+nL1uA5aQQlZ69RsOs41iH1CFwxC7mjHWKZGk1mHpd7TtCddDpvnG6AKIoU7D9NygffA1AW0ZGmc3WfskhcvY+rSzbQcNpQ8mJukL7jFDJLBWHLXsWxWQDqvCJOSzbyeqItDac9hVZTDlqRyx//RfrOqs6l27HPOT5yEUXXUnDpHkaIgR8uL9lIY8kPqZIfWi97FSepvh6XyvAbGkHD1wfoy7i4eD2p23QPJI2nDsF3QAe0FRVozl0nbspX+sM5HLu1pO77LyDIZWT+vpuUL9biM3UYxbHXydtxAtsW9WiwcjpyvS9y+TfyLexaNyTwo3GIWhFBJpD23WYyV+sexDpm3ToQ/2LJfKJ6daVEpeKllyZx6rRun87JEzto3aYXAP7+Pvz0wxc4OjmQlZnDiy9PJDExhcaN6/PN1x9ja2eLKIrMnDmPLxOr2px1pza4TtPVtcL128n7djXOrz1H2fkrlOw7iue3C1HWD6QiU/d2vfKTFZYtmuD+7puIWi2CTEb+L+spXL8NgHX5ur6++wfPE9g1BI1KzbYpK0iX4tNzW+fzcx9dfKoTEkifT1+RjtWPZfc7uvjU8oUoQp/rAcDVbSc5uFD3iY0mT3ak7av9kWkqsPF01u0NzS4ketIK/ecoBuyYz6ZeOvmuIYFEfKaLf8l7Yzk2Ryffv3dr2s17DisXe9QFJeScj2fnyEUAeHZoTKtZz3Cl7wyTxo5/FboHSlPEcZs6TkQuHouLuwMIAslL11OeV1TrOgCcs7AiYt7z+HYNobxUzb5JK8iSdBiyfT5ro3Q6uBnqsC+WQ5Iveq54A6cgL0RRpCgpiwMzf6AkLZc6LevR9fOxKK2UKB1sKcspIH7V3oeOrwCOTesSuvhlZAoLSuIz2DN5BS2nPYVP1xAqVGoO3qE+dTKoT0clHYZEf4rc0oLSXN0qh8zT1zgy4wdavDmQFhMHgygiakWKk7PZPvgDSrML6LdjPpsN5IZ/pmsHyXtjOS7JtXS2o/Py17H1caU4KYv945YaLskDIPyzV0jadYaT207QY8EYmj/dBVEUyb2Rxpa3vibzQkKttDmtpgK5VkSVmYdDkFet2glg6NHPsLKzRmatRLCQo07PJennXdz4fD3B056iIDaOzO26vqLZsgnYNw9Ak1fEv2OXoIrPQG5jSdMlr+pONxUEUn7fR/xXus9UBE19Cs+BHRArtJRk5mPj4wYyoVb6CRt/D9r/MBEAmYWcxHWHCHtvspGPliyZR69eXVGVlPLSy5M4LcXwE8e306at7jnG39+HH75fgpOTI5lZ2bz88iQSpf3mixa9Q1Svrnh4uFNeXo4yp1T3KQvJ9n13zmdLT53tXUICCf9cZ/uUvbGcmK2zvdLZjk6VdSk5S/cpi7xirNwd6bP1A90gUKtFsJBTll2ApriMf5dtoskrfZArLLD1dWNd+7dQ55c8UH0NfroT3l1DOPjql3q7PJf8qwAcRLfnUANMQjch89ii2r3CpIMk6+6v3HXfhyAIfdF98kMOfC+K4nxBEOYCJ6VVkU3QfRbEDt3hNNNEUaz522X3yGM1OHyUCIJgCVSIolguCEIH4OvbLEu9J6oPDmsbU6//dawwfT0YevYDk5dhODg0BZkoTSofwEOoYU9iLWM4ODQFiWX39smSh0FzP8ffPgA+slKTyoeaB4e1zZWGTe+e6CGoHByaErdHsCulfoVp/V05ODQlzTWmr7PnLEyrR53ye9sz9zDkyk27aOq+jjd/QDIeQSGuJm53vuWmX0lUeH+HzT8Qw3IPmFT+965dTSofQGva7hTQDw7/o1DtWm7awWGPcY+lTR7HPYePCn/gT2nTphrdt1fMmDFjxowZM2bMmDFj5n+S/9nBoSiKV4Gw/+/7MGPGjBkzZsyYMWPGzGPGQ3y3+D+Z/4oDacyYMWPGjBkzZsyYMWPGzMPxPztzaMaMGTNmzJgxY8aMGTM1Iv5vzhyaB4e1hKuJD3TRmvjwjQoTywfTHxYD0PbcIpPK/7XFOyaVD2BVXvsf+a5OWpmlSeUXmPjAB9AdyWVSKkx/gMhr3p1MXsbpLNMeyOD4CA7GeBTHpt2Umdbfdo/gUJ1UwbTtGsDSxM4oF0zfF9lpTauErdb0zlYJpn98M3XTTrIwfV/3KA5ameAVYVL5ZeUmFQ+AjYnbxH8s5mWlZsyYMWPGjBkzZsyYMWPmfxXzzKEZM2bMmDFjxowZM2bMGGKeOTRjxowZM2bMmDFjxowZM/+r/M/OHAqC8B5QJIriJw8oojewBN2y/O+q/yhTWtD+i/G4NA+gLLeIw+OWUpyUBUCTCQMIGt4FUavl1JyfSdv/LwANXowieGQkgiBwfdVeCq6l0PKDUQgyGXlXk3EI8kKs0JKyO4Yz835HprQg/ItxuDQPpCy3kOhxy/RlNJ3Qn+DhXRG1Wk7O+ZlUqQyFgw3tP3kJx0a+IIocnfQtdQd1IGhoBHIrJcXJWeRdTubIxBVoCkr0+rg0D6DD52OxsFKSvCeGk2//AoDSyZZOyydg6+tOcVImB8cuRZ1fgm9US1pMHYooiojlFZx891c4erZKXt+2NFwxGW1JKUlfrCd52QYj+zm0b0zg3DHYNqnL5XGfkb35KACWvm40+n4ayARkCgtSV24l7ecd9+28OQsWc+DQcVycndjw6/L7zt9u7ih8u4VSriojeuIKss/dvCWNa/MAOn02FrmVkqQ9MRx7R2ezgH5tCZ30JE71vfn7iXfJPnsDAJlCTvhHL+LToRGWdZzR5BQSv3IbN5ZuMpIrKC0IWfYaDiGBaHKLiH1lCarETLyGdCTw1f76dPZN/DncYyYlN9Npt+k9/XUrLxeyjl3GvoEPglzGzVV7ubLsb6MyZEoLWi8dj1NIIOrcIo6P/YKSxCz979Y+rvQ88DEXP1nL1a//AaDlZ6/g2TOMsqwC1nefSdtqNsq5jY0iDGx0XLJRXQMbbTawkaWzHV1XvIFbiyCu/XmAo3N+rhWftJ4zHL+eYWjV5RTGZxA9aQXkFlEnMoSQD567bzs5hwUT9vGLksMELn2ylpStJwEIfqk3Ac/q2jl/7Gb/91v18p5893maRIahUZWxasrXJJ031kFhpWTMV2/hVrcO2got53ef5u+PVuvktm3E4Heex7uRPz+9/gWxW48BUCcyhNC5oxDkMm78to/LNejQ5ovxOIcEoM4t4ujYpZQkZeHRuRnNZw9DprBAqynn7NzfyDx0AQC/QR1o9MZARFGkMCOPva9/RcuJg/GT7L//NvZ3ax5AF8n+iXtiOCLZv9WUodSNaglaEVVWAfsnfUNJeh7Bg8Np8Wo/ZAhYutihLdeizi+uFf+qC0oImdCfFpMGIwgCpdmFHHljOemSjpW2ud8YCyDIBHpv+wBVai6FCRn4SHY5MnEFQU93InhYF/6o/5I+/f3GV4DWH4wykpvzr84eQ5J+If9iIhZ2Vli5O1KakXdffncODaLVx9K9CXDh03X6uluJKdq2YCGn4ycv4dWuEVaeTpQXlXLl639q775lAt23zaM0LZerP+wgTGoTcbexTVupjLJqbSLEoE3EGrSJTr9Nw8rDCcFCTv7Ri6RtP0WTubrYkbhqD3HV4rhMiuOOUhw/I8Vx7yEdCaoWx6N7zKTwfLz+Wqufp9C+bh2SD1/AX/LDvokryLpNm+v6ma5uJeyJ4bDkh0pCXulDh3dG8lPzcZTmFuEU7EX/NbOxdndElZHHnuc+rdG/Ls0D6Cj5N3lPDCfeqaqznb+egJ2fO0WJmRwYV1Vn63RoTJv3n0VmIac0p5CtQ+cDMGjvQhyDvdBqKtgycG6ttG1LZzsipb6iID4dhY0V5aoyDtwhdnSW7JS4J4ajkvw2c4bj3yMMraacgvgMDkrygweH03zcEwD0FkS8GvmzuN9MUi7EM/jd52kcGYZaVcbqKV+TfP7W8vpMeYbWT3bGxtGWmU1H6687+7jxzKJx2LnYU5JfzKq3lkFSAe3njtLHV1PooLSzws7fg5KUHK7+tJOLNbSJmp5plc52RKx4E5fQIG78eYBTs3/S5+m6StcmZBZyMo5dBt3z8iPYfV2L/I8eSGOeObxHBMFo97cc+BLoAzQBhjvU9zFKHzS8K+q8YjZ3nMzlb7fSYs5wABzq++A/sD1bIqezb8QiWn84BkEm4NjQl+CRkex44h229piJd88w2nz8IvtGLuLEzB/wDG9C9Lhl/BM5gwtfbwEgWCpjU8fJXPp2G2FzhklleFN3YHs2R05nz4hFtPlwNIJMtyu79dxRpOw7y+bO09jSYxbWXi44BHpycNxSdj61AHVeMYVxqTR7vb+RPm0XjuHY1O/Y2HEy9oGeeEeGALoHpLToC2yKmEJa9AWaTtDlSzt4nn96zGJLz9kcmfQt7T+pehBCJqP+56+Ru+s0mesO4j44AusGvkbllSVncfXNL8lcH210XZ2ex9l+s4jtMZXYPjPxeX0QyjrO9+lNGNS3J8sXz7vvfAC+3VrgEOjJ2ojJHJ6+kg4fjq4xXYcPx3Bo2nesjZiMQ6AnPpLNci8lseflJaQdvWyUvsGISBAArcixAe9SlpmH1+CO2DYwrlu+IyLR5BVxsP1b3PzmHxq8PQKA1LWHONx9Boe7z+DshC9RJWRSeD6eiuJS/fXD3WegSsrCuWUwh0YsYmfnqfgODse+WhkBI3R1a0eHSVz7ZivNpPpbScj7z5K2J9boWvwfBzg8/CMAfCQbrYuYzJE72Kj9h2M4PO071lWzUd6lJPa+vIT0ajaqKNVwZtFfnPzgN2ObPKRPUg78y4ZuM9jYcxYFcamETOgPMoEWH455IDsVXEpkb9Qc9vSYxeHhHxH68YsIchkOjXwJeDaSfX3eZne3GTTt1hK3unUAaNI1FPdAL+Z1fYvfZ33LU/Nfoib2fLuZBd0n8/ETMwhs1ZDGXUMByE3J5rcpX3Nq4yF9WkEmELZgNNEjF7G9yzT8BnW4VYfhXVHnF7MtfDJXVmyluaSDOqeQQ899ws5uMzjxxnLaLh2vkymX0eKDUewfOo9d3WeSczGBDnNH4RjoyZ8Rk4mevpKI29i/44djODjtO/6MmIxjoCe+kv3PLv+HdT1nsS5qNgm7z9DyrcEAFCZksnnoPE4u+J2StFxU6bm15l9BJtDo+R5sHTqfXxu8REVJGR2/etVI3oPEWICGL/Wm4GoKlm4OOAR6sqnjZI5NW0n4krEoHW1vue/7ja/e3VpgH+jJRkluWwN7VJSq2RU1G4Cd3Wbct98LLiexu/ccdvWcRfSIRbRc9AKCwQFTpmrbAf3aIldaIGq17Oo5m/LiUuo+1anW7rv+y70pvJoCQMsFozk4chHbukzDvwbbBEplbA2fzNUVWwkxaBPRz33Cjm4zOP7GctpJbQLgyCtL2dljFju6Tkfp6kCLJeM4MWIhBzpNxntwR+xqiOPleUXsb/8WN775h4ZSHE9Ze4jo7jOI7j6D2AlfUiLF8Urq9G1DRXEZClsrHAM9+T1iMgfu0OY6fTiGA9O+43epzflJfgCw9XLBt3NzCpOqXvy5NgugICGTM0s3Eb/5OO3u4N8j075jg+Tfyjrb7DVdnd0g1dlmr+nqrMLBhnYLRrN39GI2dZvBgbFLdXbo1gJNUSmb+75LSVpu7cRudH3F6UV/cfXPA1g62LJGik3hd4hN0dO+Y40k39dA/rruM1gvyW8hyb++/jAbomazIWo2v038kpzETFIuxNO4ayhugV4s6PoWa2Z9y9DbxPELu0/x+cDZt1zvP+tZTq47wCd9prNjyVqemDZc37+ZSoeNfeYgU1hQnJzN5vCJ1B3YgXt9pq0o1XD24zXEzDXukwGixy5lW89ZbImcjpWrPcBTNd64mceO/7rBoSAIzwmCcFYQhFhBEH4RBCFAEIQ90rXdgiD415AnVBCEo1Ka9YIgOEvX9wmC8LkgCCeBNw2ytAWuAXGAGvjdN6qVkUzfqFbcWHMAgMTNx/GMaKq/nrDxKFp1OcWJmRTdTMclLBiH+t5kn7lOhUqNWKGlKD6dilINxQmZ1BsRSfzfx/Dp1gKAsuwCSVZL4tYcBCBh83HqSGX4RbUi3qCMwpvpuIYFo7C3xqN9Q67/tg8AraYCr07NiPsrmtT958g6eRWloy0F11Kx8XLR62Lt4YTC3pqs09cBuPFXNH69W+vLivtTdw9xfx7UXy8vKdPnt7CxBLHqJCz3pzqjVanJ2XoMtCKZGw7hEtXGyH5liZmUXIxHrLbeW9SUI6p1R3fJLC10sy8PQOvQ5jg62D9QXv+oVlz7SzdozTx9HaWjLdYeTkZpKm2WKdns2l/R1JVsk38thYLrqbfIdWrgQ1FSFiU30iiIiaM8v4Tc45eoI+WrpE7v1qT8qatb6X8fw1XyuyFegzuSuuHwLddtgryw8nal4GISJQkZiJoKkjYcwata/fWKak2C5Nfkzcdwj2hW9Vvv1hQnZFJ4OckoT/bRS6jzivQ2un4PNlIa2Oj6X9H438VG5aoyMk5coaJMY3T9YX2ScuAcYoWurmWcvo6NlwsuYfUovpH+QHaqbMcAMiuF/rhN+/o+5J6+pv/92rGLhPRuC0CzXq05sU7n1/gz17C2t8HB3VgHTamaa0d0MxUVmgqSzt/AyVPXVnOSMkm5lIBo0Nbqhtaj6GY6xQmZiJoKEjcexbuaDt69WxEv1afkzcfx6KSrT3nn4ilNzwN0D95yKyUypQUIAoIgYGGjO91TaWeNnbcrVyX7Z5y+jtLhNv62syZDsv/Vv6IJiNLZX1Ok0qezsLbU65Bx6irq/BL8o1px6Zfd2Hi51Jp/3cKCybuSTNbp62g1FcT9cQCFnbVOR4n7jbEA1l4u+HQP5dpv+7B2dyROskt2TBx2dT24uHxLjfd9P/HVL6oVNyS5WTXYwyUs+IH9blR3LRW3HBVrqraNCDZeLhTfTKcsMx+tupykzcdq5b6tvVzw6h7Kjd/2onC0ucU2PjWUcVMqI+le2gRQLtVhwUKO0t2Rsox8VPG62JG64XCNcTxJKiPt72O43UMcl9tYEjjuCa59tg6FnTVXDNqcpYMtNtX8YOPhhMKgzV0xaHMA4e89y9H5vxv1z94dGnPuhx1oyysoTs6+Y1vLqsG/flGtuC61metrqups0OBwEraeoDglG4BS6TnGP6oVF77bTlleERWl6lpp21DVVzg39CXvuu6lQOYdYpPCrpp8yU7Jt5FvSNiAjpz5W+enZr1ac7JaHLevFscrfyvMzLvlumd9H64dPq+7jyPnadazFXV7VevfalkH99BgRE0F8Wuj0WoqSNh4lHt9pq1QlZF1/NY+GYzbhNRO/vOORNVqTfvvMeW/anAoCEJTYA7QTRTFFugGdEuBn0RRDAFWAV/UkPVnYLqU5l/gXYPflKIothZF8VODaz5AosHfSdZexrNX1p7OlKTkACBWaFEXlKB0scPay5kSKTgClKTmYOPpQv6lJNzbNkTpbIfcWolHhyaI5brZd/tgL5ROtjR8KYoea2fj0iIIABtPZ4oNytAUlGAplVF5vbIMa09n7PzdKc0upP1nr9BnxzzaffISNj6uRvdTnJJD0LDOpOypWgJq7elMSWqOURprT52+Vm4OqDLyAFBl5GHl5qBP59e7Nf0PLCLy5ykcmfSt7qIg4PPqQPIPn9OnU6dmY1lDwL0dSm9XQvd8SutT35D05UbU6bn3nLc20NndwGapOdh4Ot+SxtBmJTWkqU7OhQS8uzSnNDUHa393HEICEcu1WHoa28bSywVVsq58sUJLeaEKhYvxQNdrYAdS1x+iOl6DOpB36hoqg/tXpeZgXc3+Vl7O+jRihRZNYQlKF3vkNpY0mNCfi5+svaMu92qjYsN6dQ82etjy7sUn9Yd1JmnvWSMbwP3ZCcA5LJge+xfRY+9HxExbiVihpeBSIq7tGunbeZPIUJy9XAFwquNCnkF5+Wk5OHrevl1YO9jQtHtLrhw6d9s0jnWq6opeB89bY5WqWhxRutgZpfF5oi25/95Eqy5HLK/g9PQf6LlnIU/ELMOpvg+aIhVF1exvW60c2xr8bZim9bSnGH58CfUGh3OqWv2y8XTGtWkAyXvP6vM+rH8N4yeAVR0nynKL0Kqrzo2/3xgL0Pr9ZzkzbzWiVkRuqdDH1wZjelGSmoNgYfyBgAeJr9bV67tBHpmlgjbLXsWpWV28e+se8O7X7y5hwfTc9xG99i7k9PTv9Q+WVTap/bZ985/jALi1b0Tfk0u4svwfim6k18p9t5g7irPzVoNWRG6ppCTZuA9+2DZRSafV0xnw79cgQn7Mdf11VUrOLXHcysuF0mTD2FFzHE8xiOMNZjzDja//oUKlRqaQP5AfKttc3V4tKU7LJediglEe22r+rakd3amtWVers9ZSnbUP8kTpaEuvNbN5YusHBA2NqLrHWo7dhigdbdEUlxrlvZfYVJP8Bs/cKh8gtF8HzmzS+cmhWhzPu0scr07KxQSaSy8Mm0e1wcreBjs/t1t8Ups62Hg5o3SxJ37DEb38e32mvRtdf5vOk2e/RlNUCvDXXTOYeSz4rxocAt2ANaIoZgGIopgDdAAq57t/AYw+SCMIgiPgJIrifunST0BngyR/mPSOJQqupXDxq7+JXD2DrqumU5yYqX97LshlKGysSPjnOGc+WE2nbyY8UBmCXI5L8wCu/rybrb3mUF5Shn1AHaM0dn5uiOVabqy7dWBxLxi8gCRx20n+7jyN/S98RotpQwHwHBNF8b9xaA1mFu8XdUo2Md0mc7rDBDye7oLCzfGBZT1OXP19P+rcIjx6t6bRB8+Td+KKsUHvEceW9ahQlVF0KemW37wGhZN3/NID32PjqUO4tmILFQ/hv8eZkDcGIJZriXvA+m9I7pnr7Ooyjb2959DgjYHILBUUXk3hyrK/6fj7TDr+Np3kC/FoH+DtoUwu47kv3uDAj9vITsx46Hu9Ew4NfGg+Zxinp60EdG+Bg5/vzq6es/gndAI5lxJwqBZHHoSTi9awuu2bXFt/mCZjehr9Zulsh2+PUE4u+P2hyridf50a+FB3QHvSD198KPk+PUIpzSrQ7/+rxLqOE3X7t9U/XD0o9xIOtrR5k3Pzfifz0AVazB2FbV2P+y4n58x1dnadzu4+b9Po9QG6mTgT4x4ahKgVSVh/mK1tJ9JgbF8sXe9vdUdN9+3VI4yyrHzyzt6stXt1aOBDyJxhnJLaRCUHh3/E36GvISjktwwG7xfHlvXQGsRx+6Z1sQnwIH3riYeSC2BhpSTs9QGc/MT0z+qVdVYml+EaEsie5z5h14iPCHlrEA5BnrVWTm3G7ppo8foAtBVarleT7x4WjEZVRtqVW/vbB2HT/F8JbteYSf98SHD7JuSlZtfafNvtdHAI8ESsqCD/cu3oYMi+ER+xPuw15LqZw261XoCpEbWm/feY8j97IM19UFzDtWTATxCEV4BXFixY4NlAbTxAUaXlYuPtgio1B0EuQ+lggzqnCFVqLjbervp0Nl4ulKTpHhjiVu8nbrVujNru87H6dKrUHIpTclCl5pIdE4eoFbF0sackLRdbgzIUDjaUSWXYersYlaFKy6UkNYeS1BxcWwTSdtELWNhYIlcq9OUEPd0Ja09ndg1beKsuBjMmtt46eQClWQVYezjp3hB6OOmXvBqScewydv4eWLjY49CqIY6dmiG3t8Gld1sEpQU2jfzJ3RtzT84wRJ2eS8mlRBzaN9YfWGMqZFYOyKzsGbBjPlkxcdga+NDWy4WSNOPZy5JqNrOpIU11xAotsV9spP3EwZx5/hPabZ6LKIqo04wfKMtSc7D2caVM8ruFvTWanEL9716Dwkldf+uSUvsm/ggWcnKPXSKwU3P9dWsvXR0ypDQ1F2tv16q6ZW+DOqcQl7B6+PRrR7O3R6BwsAGtSEWZhrjvdxA0pidBY3pi6+9B+qlr92QjW8N6dQ82MsS5kR8DdugONKgNn9R7uhN+PcLY9vSHRjZ4EDsZUng1hfLiUhwa+ZIXe4P41fuIX70PgMZ/TMergS/12jchIfY6TgblOXq6kJ9W82DimQ9fJvNGqtFhNjWRn66rK0Y6VLOLKi0X62pxRJ1TpE/f4fuJnHhjOcXxukGoU9O6AHhGtiBwZCSCrSVySwV23q6kSzJtvVworlZOcQ3+rp4G4Nr6w/T+eQqlWQU0GhGJ3EqBjYcTZz5dR1lukT7vw/q3Mn7aeLnQbeVbJG09qT9sxlDm/cRY314tCRjUgeARXXVL3gUInfkM55f9jX1AHSyd7eiy8i0srJUMPPQpGztOfqD4qkrLxdbblcya8qTlokrLQeFoS+bhizg1C7hvv1dSWXebTh1CnS66/UsZsffW1u63bQcODif18AW8WtajLLuArBNXcA4JIv9SolG6+7lvx0a+uLZtgFevVnh2D0VuqcDC0QYrT6dbfHevZVh7uRD+/USOG7QJQ7RlGrL2xeL7TFf9NWtvF8rSqseOHKx8XCnVxw7jOO49KJwUgzju3LoBLh0a0zvxV93edJmMzh+9yJ/dpt/WxjX5oTgtF4cADxz83Bm6Y4Huurcrz55aRv6NNNJPXTXyb019153amqpana1cPlqSmktZ7lnKVWUEP90JSyc7ev02nZQD57D1dtXPDNZG2270fA8ajIwEQF1QgsLWyijvvcQmQ/n1n+qEf48wtjzzIdUJGtCe7MQMJm/RPTclVovjTneI4zVRkJHLj+MW03FULzqM7I69myPpe8/e4pPa1MGlib9Rv2Xj5YIq9dY2UdMz7b2gLdOQtP0Ufk+0HQjsvKdMZv5f+W+bOdwDPCUIgiuAIAguwGFgmPT7SOCgYQZRFPOBXEEQOkmXRgH7uTMngPqiKO4URTF85syZ2VZ7bxolSN5xmsCndBOQfv3akh6tW0OetOMU/gPbI1NaYOvnjn2gJzlndMtPLF11yy9sfFxxa1kPubUSWz93kneewadXS5J2nMY+yBOZ0oKynEKSd5wm6Cndbfv3a0t69AWpjNPUrVZG9pnrlGbmU5KSQ+rB82ztOZub6w6THRNH0NAIvLqG0HzSYAquplCckGmkiyojD02hCreWuj01gUMjSNx+Sl9W0NO6ewh6upP+up3BTIJL8wDkSgvKcwq58toSToSNRZORR9Ky9WSuPYCFoy05O+7tbajSywWZlRIAuaMtDm0bobqWck95HwZtaQHlecls6jWbhO2nqCctiXFvGYy6oES/jKaSSpu5SzarNzSCBMk2t0NupSTvcjI2QZ54DY1ArKjANaIZGdXyZWw/hffTurpVp387sqW6BYAg4DmgfY37Db2e7Ejq+kPkn7mOXZAnNv7uCAo5voM6kLrDuIzUHafwl/zq068dmYd0ZRwYNJftbd5ke5s3uf7tNi5/sZG473Wnxcb9sJPDIxdRdDOdhO2nCL4HG6kNbBR8DzYyJPdSIpt6za4Vn/h0DaH5+H7sGr2YilK1Tn7Mg9vJxt9dfxiGta8b9vW89ae9WlYuDfRxxcXXjYVRU/m47wz+3XGSNk/q/Fo3rB6lhSUU1LAnpe/kp7G2t2H93J9v+a06CbHXsQv0xMZPp4PfwPakVrNx6vbT1JXqk0+/tmRI9UnhYEPHX6bw74LfyT5xpcqOaTnYN/Ah8e+j7Oo5i+sbj5IZG0d9yf4eLYNRF97G30UqPCT71x8aQbxkT4fAqngRENWSvOupXPhpF9vHLEaQy4n9bAM+nXUvNGrLv1kxcTgEexG1ejqnP1qDW6t6JO04bSTzfmNszId/sqbJWH4PGM3uYQvJ+fcm5cWlpOyOYf8Ln5FzLp71bd6kXKVmY8fJRvd9P/E1acdpAiV7uxnYQ+Fog0xpQW5MHPbBXrh1aEzhjbT78ruNX1XdtZHq7uWvNrOr5yx29ZxlsrZdnJyNna8bdoGe2Nf3wbVVfZxbBD7UfRcnZnJuwR9safU6W9u+xbFxy8g8eJ6KUo1Rm0ipVkbK9tMESGX4VmsTETW0CbmNJVbSHjBBLsO2vg9yG0uspdjhNSic9BriuK9UhmcNcdxrQHtSDOJ4wk872Vn/Rbb5Pcv+DhMpTsmmMFkXUyrbXEk1P5Rk5KExaHMNhkZwc8cpci4l8XPoa/zWYSK/SbJ+bTWBNd1ncHPbKRpI/rX1cUVzh7bmZuBfw7oZLLWZ4Keq6mzi9lN4tG2IIJdx7Y8DlKTnsuv5T41it9xKWStt+9JPu/R9Q/a5mzgFewO6+qq5TWzSFBnLr4xNlfJ3jqmSb+inwP7t2DD3Zz7tO4NPpTjeulocr2lv4e2wdbZHEAQO/bKD87tOs/urjcRvM+7falsHz3YNkVkqsPVzR6aQ4z+wPUnV+rrbPdPeDotqbcK7RxjAgy9b+v/if3TPoSA+wLK1xxlBEJ4HpqI7LvcMuv2DPwBuQCYwRhTFBMNPWQiCEAosB2zQHTIzRhTFXEEQ9gFTRFE8eUtB0Bf4HN3Jpd+v9h45r/nUIeTE3iB5x2lklgo6fDEe52Z1UecVc2j8Uv2gq8kbAwka1gWxooLT7/xK6l7dqY/d17+NpbM9Wk05Z95fhUxpQcv3RyGzkKEuLEVmIcPS2Z7LP+7k/JKNyCwVumPWmwVQllfEofHLKJLKaPrGAIKHdUGs0HLqnV9IkdaYOzf1p90nLyFTWFCUkMHRiStoMf0p6klv2QoTMqkoVZN16hpureqxpafuNC2XkEDCP38FuZWSlL2xnJitezBVOtvRafnr2Pq4UpycpTtqPa+YJq/1I2hoBNryCipUak7PW42dwacsnLuHUe+z15BZKUn+cgNJS9bhP+0ZimKuk7PjJHahwTT6fhoWTrZoSzVoMvM402Uijp1DCHzved1aFUEg9futpP+6Sy+37blF91RPpr67kBNnzpKXV4CrixOvvjiKIf2j7prv1xbvANB+/vP4dA2hQqXm4KQV+uPYB+yYz6ZeOpu5hgTS6TOdzZL3xuo/u+DfuzXt5z2HlYs96oIScs7Hs2PkIux83ej123SUVgqUzvaocwpI/GU3cZ9voN60p8iPjSNz+ylklgpClr2GffMANHlFxI79ApX0BtslvAkN5gznaN+3b7n3zseXcGrERxRfS8G+R0tCpKPc41fv4/KSjTSeNpS8mDhSpfrbWtq3pM4r5vjYpZQkGL8lbzxlCOXFpfpPWbT5egLu4Y1RutijyiqgIC4VWx83KlRqou9gowgDGx0zsFG7ajbaOVLn26FHP9MfHKIuKGH78IXkX015KJ8Mif4UuaUFpdLMVObpa1yYupI63UMfyE5+QyNo+PoAtJpy0IpcXLye1G26MNJ5wzsoXezQaipYNf8Xrhjsvx06dwyNu4SiVpXx29TlJP4bp6uvWxbycd8ZOHq6MPfoV6RdS6ZcrTsA4OBP2zn6x178Q4J48ZvJWDvaUl6moSAzj4W9pvJUx5a0kHS4+ft+Li3ZSJOpQ8iNvaHXoe3S8Xodjo3TxapGbw2i0ev9KYpL19/fwWELKcsuIOi57tR7KQqtpoL85Cz2T1xBqylD8OsaQnmpmv2TVpAl2f/J7fNZJ52e6RYSSJfFr+iOWt8Xy2HJ/j1WvIFjkBeiKFKUlEX0zB8oScul08cvEdinDUXJWdh6uaCwtaIgLq1W/Htkxg90WjKW4Cc7oi2voCy3iNKsAtIOnifj6CV9HL/fGFuJR4fGNBnXl+LkLLy6hlCuUus+OXH2Bs9c/Y7Cm+kPHF8B2ix4Hu9qcn1a1aPlohcRtVoU9jbIrRSUl5Tdl9/9h0bQcEJ/RE0Foqjl4uL1pGyrelAskgm0M2hrtdW2LWwsifjsFdxDg7HycKK8SMXVFVtr7b4B3Ds0psH4J7j2486qz7tItmkq9d+GZVT230elMhrX0CYODFsIAkT8MgWZUoEgE8g9dJ6svWdp/P4okMtIWr2X659voL4UxzOkON5i2Ws4SHH8TLU43nDOcI7UEMcBrP3cafHrNFKPXsJXanP7DNrckO3zWWvQ5iIX6/yQuC+WQ3Nufak04shnrOv7NqW5RVi7OzIs+lMU1kpEEcpyC9nQcQqaIhX9dsxns4F/wz/TteXkvbEcl+RaOtvRubLOJmWxf1xVnW067gmCn+mMqNVybfU+zn23HYAnD36CvfRCrTS7gFMf/snV3/c/VNsGXV+htLfGwtYKQRAoTMhg34Sv9HYatH0+Gwzs1FmyU9K+WI5I8p+K/lT3Ql6Sn3H6Godn6uR7dmhMm5nPsPDJOUb2fHLuGBp1CUWjKmP11OUkSXF88paFfNp3BgD9Zoyg5cCOONRxpiA9l2N/7GX7538R0qcdT0wbhihC3PGLrH3nexqVQId5z+t9fdDA17Wlw4XF62j5vvR5l9/3c+GLjdzrM23/Y5/r+2RNfgl7hy9EnVtI55+nIFcqQCaQcfgCDV6IUgBVm3T/A1CtX2jSQZL14BkPdqqiifmvGxz+f7Hae6RJDanFtPXnUdSCQG3p3RM9JPc6OHxQKgeHpsSr3PSxs0Qw7aKBArnpFyWYus46Vpj+rd5+K9OX0alMfvdED0Gu3PR9m8UjCFBKE5fxKGKs1SPoz4tkpvW3ndb0Opi6BFut6T/llqgw/a4gaxMb6lF88E77CB69z1uYts9uWm56X9s8gnY3PGXVYzkQuhOqdQtMOzh8ctZjaZP/tmWlZsyYMWPGjBkzZsyYMWPmATAfSGPGjBkzZsyYMWPGjBkzhjzG+wJNiXnm0IwZM2bMmDFjxowZM2bMmGcOzZgxY8aMGTNmzJgxY8aI/9GZQ/PgsJYoFUy7p/RRbBY2NZkoTV6GqQ+MeTZ2rknlA2xoXvMJdbVJtoWp66tJxQMgN3GTuGJp+oUVoRrTl3HTxN8vd3sEp0p4PIJDms5ambY7dH8Edso08WExAN4a0za8wkegQ5mJm12R1vSPViWPYN2XtYnrrP0jeK5JNXFfB9BSbVp/O1eYPnjkyk17cJmZ/yzMg0MzZsyYMWPGjBkzZsyYMeR/9IsO5j2HZsyYMWPGjBkzZsyYMWPGPHNoxowZM2bMmDFjxowZM0aY9xz+9yAIwjigRBTFnwVBGA3sEEUx5S55tgAjRFHMq3b9PaBIFMVP7pS93dxR+HYLpVxVRvTEFWSfu3lLItfmAXT6bCxyKyVJe2I49s4vALSeMxy/nmFo1eUUxmcQPWkF6oISvDs1o9WsZ5ArLLCwVCC3VFCh1hD32z4uLfvbSLZMaUG7L8bjHBKAOreIw2OXUpKURZ3OzQiZPQyZwgKtppzYub+RcegCAM1nPEXA0E4onGxZV+9FPCNDCJs7CkEuu68ylM52hH/7Ji6hQdz84wCnZ/+kzxO5djZWHk5UlGpQ2lkhSlP08av2crUG+S2XjscpJBB1bhEnx35BSWKW/ndrH1e6H/iYS5+s5drX/yCzVNBpwzvIlBYIFnJSNh/jyOL1PIwvAvq1JXTSkzjV9+bvJ94l++wN3b0p5IR/9CIWTr6ASEVxNqKm9A5VAuYsWMyBQ8dxcXZiw6/L75jWkDrV/HC5Bju1lfxQllvEUckPHjX4OlPydSUdf5yEbV0PVvecScf3R+Ev2WnvpBVk1WAnt+YBRC4ei4WVkoQ9MRx69xej30Ne6UP42yP5MWQcpblFAHi3b0zEe88is5CjcLCholRDhaqMQxNXkFNDGS7NA+go+SJ5TwwnJF8onWzp/PUE7PzcKUrM5MC4pbiF1SPii3Eo7KwpyytCnVuEQ30f1jYfjzqvGJnSgvAvxuHSPJCy3EKixy2jOElXh5pO6E/w8K6IWi0n5/xM6v5/sQ/2ImL5BP292Pt7EPvxX1z+brv+WtuX+9BtzkiWhI6j45uDCY4MRaMq458pK0ivQZ/OU5+i2ZMRWDnasrjJS/rrfm0b0v3dUXg08mPj68u4vOUEgEnrq1tIIBpRS158Bu6N/SlXlbF18goyaiijTvMAen+q8/WNvTHskXzt3tifngvGoLC1oiApk3/e+Bp1kQoHXzfG7FlE4fVUAAS5DLmlUq9HTb52bR5AhIEexyU96hrosdlAj6DB4TQb/wSWtlZYebkgU1pw87ttXJzzk5FcmdKCkGWv4RgSiCa3iDOvLEGVmIn3kI4Evdq/yr9N/InuMZPiuFRafvsWNgF1ECu0ZOw8zdlP1txyv5X0eG/UA/vdkPZzR+En+frAHXzd+TOdHxL3xHBUslGbOcPx7xGGVlNOQXwGB6V+QqaQ03Hhi7i1CKRCW+VrjaqMHbfxtUfzAKIMfL2v0tdN/Om+4AXklgrEigp2z/6R9Ng4nIO96PXJK3g0CyB+zUHc2zeqtX7CwtaKbhuq9opbe7tQnJqDwsaqVvtTS2c7Ile8gVuLIC6vOYCoFWs9/ikdbYj85BUc/T2oKNNQcCMN97B6JnkuQGlBhaacg/NXk3hYF+e7vj+KQKme1obvy0/H0WbuKHy6hdZaDFfnl6B0tCH801dwqOuBtkzDyYkrKLicRJ3IEEKlvu/Gbfq+NgZ1q7Lvcw4NotXHUpsT4MKn60jZelKfr/P7o6gr+XrXpBVk1qCDe/MAeki+jt8TwwEDX4eM7knI8z3RVmi5uSeGwwt+x79rCJELxmDj7oimUEVpVgFb+76Dtkyjv9fwL8bhKvVFB6v1RfWkvuiE1BcBtF/8Mr49QinNKmBzt5n68ttveAenlvUAqFCVoUrKIrp71e8ypQUtlr2Ko/TspIt/urLsm/jT/OMXsbCzQRS1HIqao79HgMjjS7Dycib/WipHJq4g59+a/dvhc51tkvfEcPLtKv92Wj4BW193ipMyOThW599KXFsEEfX3u0SPX0bCPycA6gLr0a1aVABLgXt/OPr/4H90cPhfuaxUFMXloij+LP05GvC+hzx9qw8M74M+DoGerI2YzOHpK+nw4egaE3X4cAyHpn3H2ojJOAR64hMZAkDKgX/Z0G0GG3vOoiAulZAJuoeZ0pxCdo3+lI29ZiG3VCAo5GzrMo26gzrg0MDHSHbQ8K6o84vZEj6Zyyu20mLOcADKcgo5+NwnbO82g+NvLKfd0vH6PCk7zrCzr65TFmQCrRaM5sDIRfddRkWphnOL1hA797ca9T464St2Rs0G4PAzC9ndeSq+g8Oxrya/7oiuaPKK2dVhEte/2UoTSX4lzd5/lvQ9sfq/tWUaoofMY2/3meztPhOPyBY0fbk3D+OL3EtJ7Hl5CWlHLxulbzAiEoDyvCTK81OR27rWKNeQQX17snzxvLumq07LBaM5KPnBf1CHW+wUKPlha/hkrq7YSohkJ3VOIdHPfcKOGnwN4NO3NeXFZQD4R7bAMdCT1Z0ms3/6SjotGF3jvXReMIb9075jdafJOAZ64tc1RP+brZcLfp2bU5hUNYBXOtgQMX80e0cv5tS81RRcT2VDxGSOTF9Ju9v4ov2HYzgy7Ts2SL7wlnzR7LX+pEVfYEPEFNKiL9BsQn/azX+eLf3eZXXDlyjLKuDKT7vIOHIRdV4xAMHDu6LOK2ZTx8lc+nYbYXOGAeBQ35u6A9uzOXI6e0Ysos2HoxFkAoXXU9naczZbe85mW9QcylVlJBk8VNh7uRDQqTn5SVkERDTDOdCTb7pMZtvMlUTNq1mfa7tO89PAd2+5XpCSzT+Tv+HCxsP6a77dWpi0vm7oMZPjX2+mbkRTVnaZwo4ZK+k5v+Yyeswfw47p37Gy82ScAzwJlHwdteglDiz8g596zeTqtpO0GfuEPk9+fDqbes3m1MI/KU7JYZ3k69vp0f7DMRye9h3rqumRdymJvS8vIb2aHnHrD/N37zkAnB79CSXxGbiGN8GuWpvwHRFJeV4R+9u/xY1v/qHh2yMASFl7iOjuM4juPoPYCV9SkpBJ4fl4neyvN3MgYjLRPWbg3KYhQQZ125CgyBYP5Xf9PUq+XhMxmejpKwm/jY06fjiG6GnfsUayka9BP7Gu+wzWS/1EC6mfaCj5en2PmZz4ejP+EU35ocsUds1YSbfb+Lr7/DHsnP4dP3SejFOAJwGS7p1mDefo5+tY1Wc2hz9dS6dZuthSmlfMvnd/4dS3W/Dt26ZW+4ny4lJ29Jyl/1eWX0xFmabW+9OKUg2nF/3FiQ9+w87HzSTxr+WEgWSdj2djz1lcWb0Pn64hJnsu+KXXTLZP/Iben48DICCyBU4BnvzQeXKt+d5HqrO1FsNf0+nQ/PWB5JyPZ1f3mZx442tCPxgFMoGwBaOJHrmI7V2m4VdD3xcg1a1t4ZO5smIrzaW6VXA5id2957Cr5yyiRyyi5aIXEOS6x9u6kS1wCvTkl06T2TN9JV1v4+vIBWPYM+07fuk0GadAT+pKdvHp0JigXq34LWoWv/WYwZlvtiDIBLrOe57yMjVrn/yA0ow8jk3/HlFTdXBWPakv2thxMhcN+iLH+t4EDGzP35HT2T1iEW2lvggg7o8D7Bn5sdF9CTIBKy8X9neawvbgMYjlWnKOXjJK4zciEk1eMfvaT+TGN1toJMU/QS4j9MvX+HfqSg50mcrRwR+gNbjHBjOeRmapoDgujWPTVtL2Nv5tu3AMx6Z+x8aOk7E38G/TCTr/bpL823RC1Ys4QSYQNvsZ/cBXIhXoAIQC7YAZ3MPzuZlHz3/F4FAQhOcEQTgrCEKsIAi/CILwniAIUwRBGAq0BlYJghAjCMITgiBsMMjXUxCE9dL/bwqC4Cb9f7YgCFcEQYgGGt7DLQy89lc0AJmnr6N0tMXaw8kogbWHEwp7azJPXwfg2l/R1O3dGoCUA+cQK3RvJzJOX8fGywWAnPPxqNLzcAsLJv9qMjKFBQgCCRuP4hPVyki+d+9W3PzzAABJm49Tp1NTAPLOxVOangdA/uUk5FZKZErdhHH26WuUZuh+cwkLpvBmOsUJmWg1FfdVRoWqjKzjV6go1XA7XMKCKbqRTklCBqKmgqQNR/CsJt8zqjUJfx7U2WTzMdwjmul/8+rdWvdgdznJKE9FiW6wI1PIkVnIqdOuEQ/ji/xrKRRIMyGGODXwIfXQed0fohZRq0WwsLytvgCtQ5vj6GB/xzTVESwsKZL8IGoqSLwHP3jU4OuCar6W21jSYGxfLizZAEBAr1ZcWauzU8aZ61g62GJTzU42Hk4o7KzJOKOz05W10QRGtdb/Hv7usxyd/7vRhu36g8K5se0ExSnZ+EW14upv+wDIuosvsiRfXP8rGn/JF35Rrbi+Rlcfrq85SMCADhTeTKdIqqPxG49S/9lu3NxwRC/PN6olcVKehM3HqRPRVC8rfuNRtOpyihMzKbyZjmtYsNG91OnUlKL4DIqTs/XXur/zLPs+1OkY1DWEc5LNUiSb2VbTp/K3YqldGZKflEXmpUREgxP6/KNamby++rVvTEFKNp4hgaTe5r5tPZxQ2lmTKvn6/Npo6km+dg70JOmY7mEk/uA5GvRtc0t5/lGtuH4PeigN9DD09e30AHALC6bkRhrO7RuTuuEwqRsOU6d3a6M0dXq3JklqE2l/H8NN8rshXoM7krpBNzDXqtTkSLPqoqaC/H9vYO/pUmP59Xu2eii/V1K3VzVfO9zG13bVfC35Ifk2/YRTfR9SD+t87du+MYUp2dQJCSTtLr5Ok3x9cW00wVIZoiiitLcGwNLehuL0XABU2QWkn43Dxs2RspxCk/UTdkGe2Hg4cUGaua/N/rRcVUbGiStUlGlw8Hc3Sfxzru9DsjSL5xYSiLZCi5Wbg0meCwCyryRhYaVErrQguFcrLko61Zbv/QzadW3EcD/pumMDH9Kk9ld4LRUbP3c8I0Nu6fu8a6hb8VLdSjbo+ypUar2tZJYKMDhDJMjALul38LXSzpp0A7sESXZpPqoHp776G61aN6hSZRdQJzSYsoISMs7eJOPfG9zceJQ67RsZxfbqfZGnFJN8o1px8zZ9Ucaxy5RJK3AqcZXinype9+wkU8j191JJnd6tqsU/3bOTW9cQCi8kUHghAQBNbhFI9yi3scRvRFfilv8D3Lt/b/wVrfejX1Qr4qRntrg/q/wL0PCFXiRsOUFpVoGhODVQJv3fkv+EMYioNe2/x5TH3zF3QRCEpsAcoJsoii2ANyt/E0XxL+AkMFIUxVBgC9BIEAR3KckY4Ptq8loBw9C92egL3PokdCs+xSlVD5TFqTnYeDobJbDxdKYkNUf/d0kNaQDqD+tM0t6zt+SVyWXk/nsTrbqcktQcrGuSn6KTL1Zo0RSUoHSxM0rj+0RbvYzqWHu6oDJ4KH7QMmqi7Wdjaf/VBCwN0pam5mDtZfwwZu3ljEqyo1ihpbywBKWLPXIbS+pP6M+lT9beKlwmELlrAX3OLSfjwL/IFHJqyxeG5FxIwK9XS6lMCwQLJchMsCpbZkHJXfxg7emM6i5+8Knm62bTn+Ly8i36wbStpzNFBnYqSs3Btlo5tp7OFBvYyTBNQK+WlKTlkn0xwSiPY6Anlo629Fozm4AB7XFqWPXmtyY738kX1m4OqKSHbVVGHpbOdhSnVKUtzS7AIdiLRGl5ZqW84mq2sXSxw9rL2ShvTXYNGNjBaKBZv2dLitJyyZB0tPNwotDAZoVpOdjXuXO9uRu6+zVdfRXkMpwD6uDg44a9t6v+vu2q5bfzdKYoraoMwzRZV5Ko10v3kNbgiXbYG7RbRz93+m+fR90n2qB0sr2rHob1qaY0NWHj6UxpSjZeAzuQsv4QqpQcLKsN5Ky8XChNroodmkIVChfjFzOV+atj4WBDnV4tuVn58qca9p7OteL36r4uuYc2dzsbNXimqp/IuZiAf0+dr50C6mBv4Ouie/C1YZr97/9Kp1nDeenoEjrPGU70R38Y5VXaWaEpqFo2Vpv9BID/wA6osvJrrU3U1J8CWNhYmST+ZV9MIKiP7gHZqYEPVs522ErtxRR61O/bhoxzN6lQl2Pn6UxhqoFOteB7nS+N6+zDxHBrNwcAci8k4N9XevkUGoSNrxsODX2NnkFU99n3uYQF03PfR/Tau5DT07/XDxZr6utqtEu1dlfpa6cgT7zbNuSpTe/x5JrZeLQIwtbTmQpNOYgiA36dRv1R3fDpGXarXWroi2y8qq7fzqbV5VQ+F7m0b4Q6rxi5pfH3iW6NfyUoXOyxDfZCFEXa/j6DiJ0LCHqtamavwYynKU3NQZWYWaV3Ss02N/SvYRqrav61kvxr7emMX5/WXPlpd00q+QFngUTgI+COW77M/P/wHz84BLoBa0RRzAIQRTHndglF3Ya3X4BnBUFwQje9vbVask7AelEUS0RRLAA2meSuayDkjQGI5Vri1hk/wNh6ueISGszJaSsfWLZDAx9azBn2UDIehKOvfcX2bjM4t2gNlh5O+D3V6b5lNJo6hGsrqgY2RmhF9vaYxfawCTiHBaOwtaqFu76Vq7/vpyQ1BwsnH+S2rojlZRi9nnyMcGjgQ8icYZySfO3YtC52dT2M9mA8DBZWSsImDODEp3/d8pvMQoZ780D2PPcJWWeuEfxUJ+yDPGul3Oo4N6uLKiNPv6T0YZAp5Pj0aknC38cAkFsr6fDaAA4uvlXH/wQq62v/rR/g2sCHrMtJ+oel+2X71G8Jfa4Hz/7zAUo7K91DEVCckcc37d/i76g55F9JJnTSYBR21rWphh6lqwNaVRlFl5LunrgGHFvWqzG/IJcRuvwNbn63jXyDh6THmRavD0BboeW61E9c+X0/xak5DNyi83X2Q/g6ZFR39s9dxXft32T/3FX0+vjl2rz1u+I/qAMlabm1Iut2/enDcqf4d+bLv1E62DJgx3zs/NzJv5GG+JB7lm6nh2sDHyJmDmPXzO9vk/M+y3kEvq+cZD23TGenHjsXUO/FKPLO3XzoSZScM9fZ2XU6u/u8TaPXB+hmEGsBmYUMSyc71gx4j0PzV9P7K90edUEQ8GrTgB2vf8W/n2/Avq6HfnbQVHgPDifv5NV7Ti+Ty3Bp15Azr37J4QHv4dm3Na6dmuLQtC62AXUoy8yv1fur9G/r95/lTLVZdQMSgRCgHvA8UKdWb6K20WpN++8x5b/yQJq78APwN1CKblD5oF9Xfi0jI2NGTk6Oa0xMTHGuq4bKYYmtl8stHVxJWq5+WQiATbU09Z7uhF+PMLY9/aFRPhsvF5q+0puCq8kUx2for6lqku/tgio1B0EuQ+FggzpHtzzB2suFiO8ncuyN5XoZ1VGl5WDtU7WP7n7LuB2VMopupqPJK8Y5LJjENQex8tLJMUqbmou1tyulknwLexvUOYU4h9XDp187mr09AoWDDaJWpKJMw43vdwAQOKYnASMjsXR3ojA5C1vvKj0exBc1IVZoOf7eKhoM1q0yljt6I1bcfnnUA6Mtx+YuflCl5WJ9B1+Hfz+R4wa+dm1VD+cWQQy4sByFnTWCXI6Fsx12Bnay83KhuFo5xWm5+rfehmkcAjxw8HPnqe0LAJ2Nh2ydx7r+72Lr5Yq9rxu9N75DdkwcgsIClyb+FMal1WjnO/lClVWAtYeT7o2zhxNluUXYelelrRPehCxpGZChPNtqtinLKUKVmmuUt7pdvbu1IPffm/olMPZ1PXD0c2fcwcUoba2RKeRYu9jj1siXpJNXdGk8XShMv/8HWZdgLyLbNyZ8wiDyYuJMUl8bPtsNz/AmAFzfdQbfdo3IvZGqv++iavmL0nKxM5iNM0yTcz2Vv579CNAtMQ3qFgpA82FdCRkeiQWQFROHpbM9DkGeZJ+9cVs9DOtTTWlqoiQtF/umdUn8RfcW2trbhbI049hRmpqDlU9V7FDYW6PJKdT/7j0onJT1h6lOs09fpuRGKjdXbAWrqu6w5XM9aDFMt5cv9Wycfiau0jb36ndDOXmxxr62uYc2V91G9Z/qhH+PMLY8U9VPNHq2G16Sr+Oq+druHnxtmKbJkE76A0qubD5Gj4+MD9ZRF5WicLAx0qE2+ol6o3tS/8Ve2Pq5k3biykO3iZr600bP96DByEgsnWxRF5eaJP4F9W2DW9O6ACTticW/dysK4zNrVY/KdL1WvMX17afot1y3WCr9bBz2XgY6PaDvWzzXg2bDI3Fr5Mf13/djU63OPkwML83WxVdNkYrDk1ZgIy1x7HP8c/LO3aROl6qtJNb32fdVUng1BYWDDT13f0iFSk3y2bhbfF2jXaq1u8r6UJSay/WtutUp6TFxIIpoSsqwsFSScuwypblFWLk6kHcxEZfmAaRFn6+yi7cLJdX6opJU3fU72bS6fa29XRHkMjyfaEvi6n2UF6qM0twa/2zQ5BSiSs0h58glfSzM2BVDwAtROIYGYenuiLZMg3Pr+ljYWtPzr9lY13Gq0eaG/rX1rvJLafU+WvKva4tAIr7WDaItXezx6d4C7a0vrFKAc+gmZP4z38L+F/PfMHO4B3hKEARXAEEQqm8cKQT064ukU0tT0C1F/aEGeQeAQYIgWAuCYA/0ryENwJceHh5+jRo1shk2bNjo/iOHAuDeMhh1QYl+qr0SVUYemkIV7i11a8vrDY0gYfspAHy6htB8fD92jV5MRalan0fpYEPPnydz4v1VWLo6YOvnjkwhx39ge5KlvJWkbD9NwNOdAfDt15Z0KUApHGzo/MsUYhf8TtaJK7dRBXJi4rAP9HygMm6HIJfpl3zknovHxt+d0vRcBIUc30EdSNthLD9txyn8n9bNLHr3a0eWtMwretBcdrR5kx1t3uT6t9u48sVGbny/A6WrPQoHG278sJP9/d6l6EYaSfvOUm9oBPBgvrgdcislFta6PYaCwhoQwQSDQ7G8DLtAT2z83BEUcvwGtiflLn7IMPB1xC9T+HfB72Qb+Dru591sDpvApibj2Bo+mYIrSeyftpIGQ3R28ggLRl1YQkk1O5Vk5KEpUuEh7YdoMCSCmztOkXMpiZ/CXmNV+ERWhU+kODWHtX3moMrM59jCP8i5ksw/fd4maU8sbiGB5F9Nwa1lMJo7+MJN8kXw0AgSJX2TdpwmWJppDn6qEzf/PoZ9oCd2fu5YutjhEOzFha+3GMlL3nGaICmPf7+2pEdf0MuqO7A9MqUFtn7u2Ad6km0wsKw7yHhJad6lJJa2eo0loeP5uP5oCpKy2DrjO+r31C2v9A4Lpqyw5I57zG5HzvVU9i74jR/6ziZh+ymT1Nerfxxgy8C5bOo1m/ykLKxd7Mm+moLXbe67OCMPdZEKL8nXTYdEcE1qnzauuqVCCALt3xhI7K+6Qdrlzcf45Yk5bOo1m4zT17Dzd6cwIeOOeqgN9Ai+Bz0AsmJvYOXlQs7xSwgKOV6Dwkmvli9j+yl8pTbh2b8d2YaxSRDwGtCelA3Gg8MGM55GYW/DhTk/U53TP+/ih76z+aHvbK7uOEUzqa3cr98N5cRvM/a1pvA2vi4y9nX8DuN+YucY437iyh8H2DxoLhuiZlMg+TrnagqeUru+na89JV83HhLBdamMovRcfNs3BsCvY1PybqYZ5S1Ky8XS1b5W+wmAaz/uJHnrSS4u+/uh28Tt+tNLP+1iU6/ZnPlkLQUJGSaJf1fXH2Zd/3fY1Gs2FaVqtJpyvT9r+7kgeuEfHJj3G6v6zGZVn9lc336KxpJOD+P72J93cWDeb2ReiCdh+ymCJV/URgyvvK5wsEGmkAMQODKSrKOXyDpy8Za+L7Va3Urdfpq6Ut3yMej7bPzc9QfQ2Pi6YWFrxd4B77Gr5yziDOxS5w6+VhepqGNglzjJLnHbT+IrvXxxCvREprAg8eA5lPbWuDcPRGlvTcCgDljYWZF/JVkvM+kOfVHAHfqi6mTHxGEb5In3kAiKrqXg0T30lviXXi3+ZUl2ydx7FvvGfsislQhyGa7hjUlctZc9YRPY6juKM2OXUnghkeK4VM4s+P2OdbTSv4HV/BskPbMFPV3l3w3tJ7Gh3UQ2tJtIwubjHJ/5I0nbTgH4ApXLS5yBCMD4FLLHDVE07b/HFEF8jG/uXhEE4XlgKlABnAFuIn1+QhCEIcACQAV0EEVRJQjCMOAtURTbG8i4CbQWRTFLEITZ6Ka7M4AE4PTdPmVx8cedWp+uIVSo1ByctEJ/FPuAHfPZ1Et3UqdrSCCdPntFd9zz3liOSg8lQ6I/RW5pof8UQObpaxyZ8QMt3hxI8wn9KbiRjtLWChsvF0oz8ri+ai8Xl2yk2dQh5MTeIGXHaWSWCtovHY9Ts7qo84o5Mm4pxQmZNHlrEI1f709hXLr+ZvcPW0hZdgEhc4ZTd3A41p5OqNLyyDhyEdfQIN0R5b/vv+cyAPod/xwLO2tkSgs0+SXsH76Q4sQsum14G5mFHEEuo+RGGvb1fRDkMuJX7+PKko00mjaUvJg40iT5rZa9imOzumjyijkxdiklCcYznY2mDKG8uJRrX/+DQ2M/Wn4xHkEuQ5AJJG86ytElG2k//3ke1Bf+vVvTft5zWLnYoy4oIed8PDtGLsLO141ev03Hoa4roraciqIs0N550nnquws5ceYseXkFuLo48eqLoxjSP+qOeQCOvvlX1XHev+/n0pKNNJX8kCrZqe3S8ThLfjgq+aHxW4No9Hp/igx8fUDydSU2vm5E/DKF1T1nEjHvefy6hlCuUrNv8goyJTsN3Tafv3rr7OQeEkjkYp2dEvfGEv32rQ/SIw9/xton3tbX3xZjn6Dx050RtVrUBSXYeDhRrlJz2MAX/XbMZ7OBL8I/e0V3TPbeWI5LvrB0tqPz8tex9XGlOCmL/eOW4t6yHm3efxaFgw2lmfls6T6LkKlDyI69QbJkm/AvxuHSLICyvCIOjV9GkVRHm74xgOBhXRArtJx65xdSpD08cmtLBp/4nI0dJqExeCObaLAqaXz0Z/zY/20iJg0hqEsIGpWaLVNWkPavTp8xW+bzQ1+dPl1nDqPJwHDs6zhRmJ7H2d/3Ef35OjxDgnhyxVtYOdpQUaahKDOfzZEzTFpfRa2W/PRcitJz8WndAI1KzbYpK0iXynhu63x+7qMro05IIH0+fUU64j6W3e/oymj5QhShz/UA4Oq2kxxcqNuHVr9PGzpOHoJMU4GoFSnJyMMx2IsKlZroO+gRYaDHMQM92lXTY+fIRQB4dmhMxw9HI5PJQC4jafVern++gfrTniI/No6M7aeQWSposew1HJoHoMkr4szYL1BJM+cu4U1oOGc4R/q+rfenlZcL3WK+ouhKMlq17iVP9C+7OPv7vlvqN0DPD55/YL9X4l4BHeY9j2/XEMpLdb7Okmw0aPt8NkgnOruFBNJZanNJ+2I5ItnoqehPkSkt9AdWZJy+xuGZP2Dn60bUqumg1VIg+dq7dQPKVWp2GPh65Nb5rDLwdS/J1zf3xrJX8rV3mwZ0fW8UMrmM8jINe+b8SMa/N7Fxd2TE5g9Q2lkjkwnILRWUpGQT99u+h+4nCqQH6ieOfsaBZxeRHpf2UG3idv0pwNCjn+l0UFogAur8YsoKSmot/tVpWY/Iz8YiiJB3OYmyvCI8w5uY5Lkg90ZVnF/37EeosguI/OB5AqSYXhu+r4i5SVvJF7UVw9V5xbi1qkfE52MRtCIFV5I5OWkFmvwSPLu1oIXU992U+r4mU4eQW63vq6xbx6S65T80goYT+iNqKhBFLRcXrydFNxgh1UKgy7znqdtV1353T15BhqTDsG3z+V3ytUdIID0W63SI3xvLfsnXMoWc7p+8gntTfyrUFRya9xtJhy9QN7IF3T95GSsnO9T5RcStiaaiTENO7A2SpHvtaNAXRRv0Rc0M+qKTBn1RxFevUadDYyxd7FBlFnD207VcX72fBl2bE7b8dbSacm6u2Mq1zzfQYNpQ8mJv6ONf6LJX9fHv9Nil+vjnMySC4DcGAiIZu2K49IHxacEtlo7He1A4+delT1lItum7cz5beups4xISSPjnujqasjeWE7N1tlE629Gp0r/JWbpPWVTb5tHhs1dI3nWGhH9O8GzKr72AT9HtyRGAZcCKWxrVY4TqpxkmHSRZP79QMKX8B+W/YnB4vwiCsAw4I4pirW3A+8HnWZMa0kb7n+8ny0dQ13Llpp0MfzZ2rknlA2xo/vbdEz0k2RamjUc2j2ApvdzE1Smxdras3JE6D7qo/T7IlptWvluFaeUDeJSb3lBnrUy7y8L9Edip4BGsBfLWmLbhlchM/6xUZmI7WT6C+Jdn4nYN4GriOvsonmtSTdzXATib2E7OFaYPHrly01eoZ1N+fSwHQndC9cM00w4Oxyx6LG3yP7fnUBCEU0AxMPn/+17MmDFjxowZM2bMmDFj5nHhf25wKIpiq7unMmPGjBkzZsyYMWPGzP8sj/GJoqbkv+FAGjNmzJgxY8aMGTNmzJgx85D8z80cmjFjxowZM2bMmDFjxswdedgPcP6HYh4c/ofwCPaemxwPoYaP2NcyVuWmPUXkURwWM+jfD0xexpZmc0wqP8vC9IsSrE18mEHzUtN3CpusTX/QymCVaaNHmoXpu5GsR1BGgzLT+rvIxIdlAfia+LAYgCITHxjToKLUpPIBruu/SmwaHsVBK+mP4KAVUx9w5FFu+oNWbETTx44bCtP621I0fezQPpbHopj5/8I8ODRjxowZM2bMmDFjxowZA8T/gi8FPAjmPYdmzJgxY8aMGTNmzJgxY8Y8c2jGjBkzZsyYMWPGjBkzRvyPnlZqHhxKCILwHlAkiuInD5K93dxR+HYLpVxVRvTEFWSfu3lLItfmAXT6bCxyKyVJe2I49s4vALSeMxy/nmFo1eUUxmcQPWkF6oISvDs1o9WsZ5ArLLCwVCC3VKBVa7jx2z4uL/vbSLZMaUGbL8bjHBKAOreIo2OXUpKUhXNoEK0+fkm6S7jw6TpStp4EoNXil/HqGUZZVgE7I2dQJzKE0LmjEOSyWinD2tuFNl+Mx8rdEVEUyfl1B6nf/QOAU2QogXNfALmMjN92k7xsvVFZDu2bEDB3DLaN63Jl3GKy/zkKgKWvOw2/n4YgCAgKC1K/30L6zzv0+dwiW9B43vMgl5G0ag83lm4ydpTSgpBlr+EQEogmt4jYV5agSszEa0hHAl/tr09n38Sfwz1mUnIznXab3tNft/R2JfPYJRzr+yDIZcTdxk5tJTuVGdjJo3MzQmYPQ6awQKspJ3bub2QeumCUt+OPk7Bw8qU8L+mW+lMTcxYs5sCh47g4O7Hh1+X3lAfAIzKE5h88B3IZCav2crUGHVouHY+jZKcTY79AlZil/93ax5VuBz7m0idruf61zqdBr/Sh7shIEEUyLyVRll+Eb5cQylVlHLhDm+j82VgsrJQk7onhqNQm2swZjn+PMLSacgriMzgotYngweE0H/cEAJa2VtjW9UCVksO1H3fWih/8BnWg8RsDEUURdVouiav30XD6UwhyGYmr9nK9Wn2SKS1osexVHEMCUecWceaVJXo72Tfxp/nHL2JhZ4MoajkUNQdkAq2+fQubAA/EChH53pOs/2iVkcxn3h1Ds8iWqFVl/DjlSxLP3zD6XWGlZOxXk3GvWwdthZazu0/dIiOsdzvGLZ/Cgv7TcbN1qtU2UXg+HkEhp8mHL+AS3oRyUeT0R2uo076RUQzMuY2/Iwxi4HHJ33X7tSV00pM41fdm8xPvkn3WWGdbb1cGHf4UTaEKVVouh24j36V5AB0l+cl7YjhhIL/FpCdxrO/NFgP5ls52dFnxBq4tgsiMPo99sBeCXMbNVXu5UkN9ar10PE6Sr4+P/YKSxCycw4IJ+/hFyZgClz5Zq4+xUSeWYGFrhYWtFaJWy7ZBH9zXfSudbOn89QTs/NwpSszkwLilqPNLUNhbE7F0PLY+rsjkcs4v38L1Pw8QNLoHoe+OBJkMdW4RMe/8QtKmo0Y63E+bsLC1InLDO/r81t4uXFt3CEEQar2/s3S2I3LFG3i0CCTjj33EzVoJ6PqKoA/GgFxG+qrdJC/bYFSOQ/vGBM4dg22Tulwe9xnZmyv7CjcafT8NZAIyhQWpK7di3cAX5+5hNFFp7rsO3c4XSkcbwj99Bfu6HlSUaTg8+VvUFxMN+lM5Mmsl+f/e5NBzVY8XD9tnX4uaecu9G9LjvVEER4aiUZXxz5QVpNega+epT9HsyQisHG1Z3OSlGuV0en8UdSVf7560gswa5Lg3D6DHYp3N4vfEcPBdnc3aTnySJiO6osouBODoR38SvzcWmYWcbotewr9dQ6w8nSkvKuXGV3/XSmzyHNiB4LcGgUxG5s4zJH/0J+3njsJP0qG2+iKZQk7HhS/i1iIQjVbL9vd/If7oRQCi3nuOepEt0KjUbJryDWk1lBc59SmaP9kJa0dbPmryov56u5f6EDYsEm15BSU5Bfw99VvqBHgTJj2b1dYzR6ffpmHl4YS1twsyuZyi5CwOvVU7baJOh8ZEfj+RosRMABK2nODs5xsqxX0P9AMygGa3FGbmseC/ZlmpIAj/nwPdPg6BnqyNmMzh6Svp8OHoGhN1+HAMh6Z9x9qIyTgEeuITGQJAyoF/2dBtBht7zqIgLpWQCbqgV5pTyK7Rn7Kx1yzklgpkCjnbu0zDb1AH7Bv4GMkOGN4VdX4x28Inc2XFVprPGQ5AweUkdveew66es4gesYiWi15AkA5GiP/zINEjFukEyATCFowmeuSiWitDLNdy9v1V7Ogyjb1PvIvn6N5YN/AFmYygBS9zYeR8Yrq8hdugCN11A8qSMrn25jIy1x80uq5Oz+XffjOJ7TmFs31n4DNhMIo6zpIOMposfIGTIxYS3WkyXoM7YltNB98RkWjyijjY/i1ufvMPDd4eAUDq2kMc7j6Dw91ncHbCl6gSMik8H09Fcan++uHuMyhJysI1LJiDIxexrcs0/GuwU6Bkp63hk7m6Yishkp3UOYVEP/cJO7rN4Pgby2m3dLxRPp++rSkvvr9Dewb17cnyxfPuKw9AyIdjODJiEXs6T8VncPgtOviP6Io6r5jdHSZx/ZutNJV0qKTZ+8+SvidW/7eVpzNBL0WxP2o2e7tOx8bLGc+2DVkTMZno6SsJv02b6PjhGKKnfccaqU34GrSJdd1nsF5qEy2kNnF9/WE2RM1mY585yBQWlCRns6XDxFrxgyCXEfrBKPYNncfO7jMpvJhA849f5PiIj9jfaQreg8Oxq1aG34hINHnF7Gs/kRvfbKGRVJ8EuYzQL1/j36krOdBlKkcHf4BWozt8Ju7rzeyPmMLBHjMIbtWQpl1Dq+zaNQyPQC/e7vo6v876hpHzX67Rbju+3cS73d9i3hPTbpFhaWtF9zF9iTtzBUEm1HqbAAh+azDqrHwOhk9kfdfpCBZyHAI9WRcxmSN3iIHtPxzD4Wnfsa5aDMy7lMTel5eQfvRyjfkivnyVstwizi37myPTV9LuDvKPTPuODZJ8bwP5+2qQX1GqIWbRX5yatxr3Do05NGIROztPxbeGNhEgtYkdHSZx7ZutNKuMf5cS2Rs1hz09ZnF4+EeEfvyiPsbKrZTkn49nY93n2fH0gvu+72av9Sct+gIbIqaQFn2BZq/p2kHD0T3Jv5LM5p6z2T50Pq3fGYHc0oLGE/pz8NlFrK/3Auq8IsLmxhwWyAABAABJREFUP4fCwUZfzv22ifLiUnb2nKX/V5KURUlaLqbo7ypKNZxe9Bc33/+lSohMRtCHL3F+xHzOdJ6I++Aa+orkLK6++SWZ66ONrqvT8zjbbxaxPaYS22cmflOfxqaRH6c7vP5Adeh2vmj++kByzsfzd89ZRL+5nDZzRxn1p3G/7sbCSomFrfEhOA/dZ9+BoMgWOAd68k2XyWybuZKoeTXrem3XaX4a+O5t5dSNbIFToCe/dprM3ukr6bKgZjldF4xhz7Tv+LXTZJwCPfHvGqL/Lfa7bfzRezZ/9J5N/F5dn1GvX1tklhagFTnUfQYVRaX4PN3loWOTwtmOhu+M5PjQeRzqMhVLD0dCXhuAQ6BnrfdFDUdE/h97Zx0e1bX9/c+eiU7cIE5CcAkSnABBQykU2tIWqFE3qhQoUqNAXaFGXWi5LVCgFIoUDQ6BYEXixJ3ITDKTmfP+cU4mM5NgJenl9975Ps88kHP2XmvvtZec7QD8NmI2P971BiPn3QlC0GZoN3wjA/l4yHT+mP0VYxbc1yi/s1uO8PX4lxo8zzuZwZdj57F09Gz+Xn+A4bMn03PR1Cb/5tj78GKOL/oPJUdSyd91gvTf9zeZTQAUHDjDulFzWTdqrmXHEOBbYHSjjK5HSKbm/V2nuC47h0KIe4QQx4QQSUKIH4QQ44QQ+4UQR4QQW4QQLZV0ryjvdwM/CCFaCiF+U/IlCSEGKOmeE0KcUH7PWPCZK4Q4K4RIANpbPI8SQvwphDgshNglhOhwmSKPT14hB6bCxBScvNxwbeFtlcC1hTeOHq4UJqYAkLwigVajewGQs/MEklFWkoLEFDRBvgCUnMxAl1+Gf48oys9lo3J0QAjB+TX7CI6PsaIfPDqGjF92ApC97gAtBnUGwKjTm2mrnB3BYm9t0b7T6EsrAfDtEUVlej5VmYVIBmOT8KguKKPseDogf2TozmXhFOiLe4826NLzqMnMRzLUUrQmAd/43la8arIK0f6dATabgSVDLZK+VuHlgLA4Oc+9Rxu0aXnoMgqQDEbyVu+hpSLjOrQc3YscpQ75v+/HL7Yztgi6eSC5q/c0eK5pHYRrkC8XTmdZySmkETmlKzyyLORUdiKD6vwyQP4AULs4oXKSxzTUGmfaPTKGUx+ubsD3UujVvStenh5XlUc4OFOVlo82U5ZT9uq9BNrUISi+F+d/kTvmOev24x9bP8AXOLoXVZmFVJyxnt1UqdWoXZwQahXuIf6c33IEUGzC8yI24W5jE/Fye2VfxCbqENA9ClOtkcyVCU3XDkIghMBBI3/EaSIDqckvM+tTzuq9jehTDFkKj7zf6+XkHxdNxalMKk5lAmAorQSThEmnp1gZuZUMRjJPpuET6Gem121Ub/at2gFA2pFzuHq44RlgLTdDtZ6ze08CYDTUNqAxfvok/vxsDYYaA8Ftw5rFJkImDyX1ozXyH5JE0MBOpFyBD3Sy8IEpKxIIV8pyITmH8pTcBnwBwuNjcHRzofDgWQCKLuNji66Cfq2uhoKDZ9G09MFQrjXbRNbqvQQ1YhOZik1kr9tPgNLWVv7PxdrHql2dyFqz7x+XOyw+hpRfZZ4pv+4irK7tJAlHd1cAHN1cqCmrwqdLJOXncijc/besWyt3IxlNOPvV+4d/4pvq4N46EGc/TzwjWtIc8a6uLUw1ejMdjx5tqE7LoyazAMlQS+Hq3Q1jxXk5Vkg2y79sY4Xa1Zni35u+LbzahZCn2HR5Si7uof4EDo2mMj0fk8FIYFw0WX8cwDnAy4rXtcbsS6HtyBhOrJTbKOdICs6ebrjZ1LXuXVVB2UXpRI6K4bRCJ1+ho7Gho2nhjZO7K/lHZJmdXplA6/hetqSsIEngHuiLNj0ffeEFTIZa8n7fd82+ybVVC7RpeRiUmcrinSdoc8sAa31toljk3TaE3D2yH9YWl1NdXkVwdCTtRsZwbKXiJ44k4+Kpwb0R2WcfSaayEdln7D1FbbXenMa/TXCDb7Om+OaordQRPDqGzFW7UTk6UJGW13T+6dLYCZRcSUI7/nu47jqHQojOwDxgmCRJ3YCngQSgnyRJPYDlwEyLLJ2AEZIkTQY+AnYo+XoCJ4UQMcB9QF+gH/CQEKKH8nwS0B0YA1hGnKXAk5IkxQDPA59cptghVTnF5j+qckvQBPpYJdAE+qDNrbcHbSNpANpOGkzWtmMN8gq1itLj6Zj0tehyS3C1yesa6IMuR6YvGU0YyrU4+boDcsdv5PY3GbXtDRJnfW12dNb5fdFl19ehqXloQv1x6xpJZeI5nAN90WfXL1HU55bgZPFxezk4BfvR7a/3iDm8lOwlqzHklwLgHOiLzqIdqnNKcA607lQ4B9XXUzKaqK3Q4ehr3bkKGt+f3N92N+AbNKE/xYnJaC3kpL1KOdUh5MY+5vYE6DLrNs58th6jtvmv+0DlYCUnXW4JLjadL5cgH3MaWU5anHw9UGucaTttHGfeWWmVvjqvlORP/2DU4cXEH/sElYOK8xYzi9rcEtxs5OQW6EOVhU00ZjcA7e5oxCaCfHD29SDzt71m+tfaDlKtkcOzvmHU1jcYe3QJ7lFBlB46V1/HnGJcbHi4BPlSbaFPhgotjr4euEUFIUkSfZa/QOzmRbS2GFGtg4OnhujhMZzefdz8zLulLyUWbVOWV4yPjQ5b1dGGRljnSHyC/DixLREADz+vJrcJB2Umqu2s2+m/+XXiPn8S9/AArsQHXkl7W8JB40yXJ8aiKyjDUKEzP2/Mf16pj20MTt4aaqvqr1DQ5ZbgehmbMCg2AeDTI4oRO95ixLY3OTrzK7P/E2oVbR8dw9CNC2l759CrLrervyc65QNSV1CGq78nAKe/2YxX22AmJi5h3F+vc/DlH9AEelv5JuGoRu3sSGV6gfnZP/FNdQgb35/za/fJ7diM8c4STkG+6HMsY0UxzkEXt4cG+YP96L71XXod/pzqrEKq/s64ZJn+SVuUnsokfIz8UezXvTVuof54tg9Fl11Mt/l3c2zBz9QUlaN2tr5m6Vpj9qXgEehDhUUbVeSV4NHyymzBEu6BPlRa0KnMLcHdRmbugT5UWsjMNk3Xe0cyadMihr3zEM5esu9I+eMACPDp14EhiUtI+3Qd2tS8a/ZN2rR83KKCcA0LQKhVtLihFy6+Hlb62lSxqOTvTMJH9kSoVXiHBRDUJRLPYD88An0pt+BX/g9lD9D9jjgKz2U1yzcHQMiY3vR8/T5qK6vJWHegyWwCICCmDWM3L2T4DzPwspnp/D8Fk9S8v+sU113nEBgG/CpJUhGAJEklQCiwUQhxHJgBWA4frZUkSWeR91Mln1GSpAtALPCbJElVkiRVAquAQcrvN0mStJIklQNrAYQQ7sAA4FchxFHgcyCoOStch+inbkKqNZG6yrpj4hbkh2/3KBJnfvWP6JYcSWFz3Cz+uuFFOjx5kzwa2cS4FA+1xpn+Xz1D2kvfYKzUXYLKlUGfU0zS8OdI7P8EAbfH4ejvdflMVwivnm0w6mqoPN1wz1/QhAEUHWh82dvVwLNdCNHzJnFYaU+vzq1wb9XCvK/kekaHGbeSsrRhJ9bRy43A0TFs7vM0G7s9gVCpCBnS9Zr5dXvyJkxGEyk2NuEZEYhkNFJ+pmE7XSls20E4qIm6dzibR85hXfdp6LKK8OzS6h/RVqlV+PZtz5HHP2bPTa8QOKYXfoPq3ZZQq+jx2ZNs+3Y9RecLLkHp0jwe/OgZMw0hBLe9eC8rFn7/j+hdDLY2IRzUuIb4UXrwLHtHzqbgcDLebZsn+Heffgunvvjzqj+O/22UHklhy5CZbBs9j3ZPjTf7v5KDZ0l87gv23Pkm7aeOwMliiec/gaR8SwTHdaXkZAYrek5j3ai59FlwDw4uTuZ0Li28ibpnOPm7TtZnugLY2oQlwif0J7ORFRX/FBeLd00JfU4xR4dNJ7H/NJyD/HDwcmsy2nViPbHkd5w83Ri7aSEd7h9FyYkMJBNoQvyoKbpA2bH0q6b9b8TsfwPHf9jCD7HPsTx+LtqCMga+eCcALbq3RjJJ5K7azc7eTxH56I04WnQsrhS2vqn2QhUnZ31Ft6VP03ftK+jOFyJdhf5fCrax6OzyHVTlljB+/WuMeuluzieea1I/1fXmgQR1bc3ZzYevmdbF7LokMYXd972HytmBwIENZ2WvFnWiLjmezso+z7Bu5FxOf7OJoV8/e820/2swmZr3d53i/8qBNIuB9yRJWiuEiANesXhX1cS8VECZJEndL5PuiYKCghdKSkr8jh49WlXqZzBfq+sW5Is2r9QqsTav1GppnMYmTZvbBxE2ogd/3v66VT5NkC+dHx5NxblsqjLkj0jXIF90NvR1eaW4Bvuiyy1BqFU4emrQl1gvP6k4l0NtVTVeHUIpTUqzyV+Ca0j97F1T8RAOavp/9QyZq3ZTtX4/ADV5JTiF+JvzOAX5os8r5mphyC9FezoTz74dKf5jHzV5JfgF19fBJdiXmjzr1Qs1uXI9a5Q6OHi4YiipML8PmjCA3N8afgB5dApHOKgp2n+GloPql1hqrlJOrkG+DPj6WQ489Zm5Pf1i2uDTrTVjDnyAUKtB7YjaKwjjhcaX2V0zTLW4Blu3dXWutZyqc0txDfaj2iwnDfqSCnx6tCF4bF86vzgFR08NkknCVGOgpvACKmdHBvxHPiThQnIuLXq2MdPTBPlSZSOnqrxS3CxswtZu2t42iPARPVh/h7VNAPh2CqfGot2aoh28O8sdwbq/8zcept2s28z0XIL9qLbhUZ1bgktIvZwcPTQYSirQ5ZZQsve0WbcKthzFq2skxbvkZUhd332IqrQ8/vp6PXF3xxM7eQQA6UnJ+Ab7kaLQ9w70o9RGh+tw1+uPUJCWy19frwfA2d2VkHZhPLf8FQC8ArwJbhdGbWqeRR2u3SYMJRXUaqtxbuHFgL/ewOjkgIOrE24WOnUxH3ip9rZFh3tH0P7u4XS8Px6T3oBQCYw1tRhrDA38Zx39S/nYS0FfprXaE+YaJOuNJepsQmfR1noLOYHs/xw9NQzf+gZGXQ2lR1NxDfal+MAZzm84TPt7R1xVuXVF5bi28JZH5Vt4U11cDkCbO4ZwQjmUoiI9n8rzhQhHBzQhfji4uxL74/MUJJxqMHhytTZRhy6zb8etVQt6v/sw+UmpV9TW/yTe2UKfW4JTsGWskPX0ShF432ha3jlcplV4Aa9BXSlVPravVocu1haGSh17nltqznPLvvcpO5FO1NQReLQLJXB4d5x83FE5O9J7yWMcnPapTO8aY7Ytet4zgm6T5H1wucdS8bBoI49AXyryr8wWLOkUJaXibkHHPciXShuZVeaV4m4hM8s0uqJy8/OTP21j7LfTAWg3YQDZe07RunsU+qJySg+ewatbayr/zrSi/U/ideGmRFxD/Am9axiBN/VHW1Rupa9NFYsko4n9r8oHgQXfN4LhsyfhE9aCzINn8LTg53kVsq9D5MDOxE4bz3e3L8CnVQs0Idblv5ZYFzV1JK3vlNu3JCkVlwAvcjYeJiy+Z5PaRB2ytybRd9FUnH2sZzLtuL5xPc4cbgVuE0L4AQghfAEvIFt5f+8l8v4FPKbkUwshvIBdwAQhhEYI4QbcrDzbqTx3FUJ4AOMAlFnENCHEbQodIYTo1givj1u0aBHWoUMHzaRJk6aOu3MiAAE9o9CXa81T7XWoWxYV0DMKgDYTY8ncKAepkLhouj42li1T38NYXb/fwslTw8jvp3Pw1WU4+XmiCQtAOKoJG9+P3I3Wo0m5GxNpdftgmd7YPhQkyB+hGmV5BchLOz3aBFOlnCBlidKjqbhHBjY5j17vPUTFuWzOfb7BTKfyaDKukUE4h7VAODrgPz6Wko1XNmvmFOSLShkhV3u54dmnI7qUHDNdTetAXMPlOgROGECBTR0KNh4mWKlDy3F9KVbqAIAQBN7Ur9H9hkG3DCT3t92NyinHhkfOxkQiFB6hFnJy9NQQ+8PzHF+0nGJl/xRA6vd/sa7HNNb3eYZt418Fo6H5OoaAVFuDW+tANIqcQib0J2+TdR3yNh0m7PZBAASP7UvRbrkOCRPms7n302zu/TQpX/zJ2Y/WkPb1JnRZRTh6atg17hW2j5iDyWg0Lz0J6BmFoeIiNlFpbRMZm6xtYvN91jYByO3Utz1qZ8cmbQddXgme7UJwUvZouQT5onJ0MOtT8IT+5NvwyN94mFCFR+C4vhQpPAq3HcOjYxgqV3kPpt+AjlSelV1Yuxdux8HDlVPz5Bm+7T9sZMGYGSwYM4Ojmw7S75YhAET2aIuuQkt5obXcQN5X6Oqh4Zf535qfVVdomd7zAebGPsHc2CdIPXKOJfe9jnOAV5PbROGmRCrPZrNn+Auc/PQPys5mEzUxFri0D9Rb+MAoCx/YGE5/t4Vl7R7kh8ip7Hz8Y7T5ZRxfvJbiY6kYLuFj/S3on78EfUtUnC/A0UtjtonQCf3JtbGJ3E2HCVdsImRsXwoVm9CE1/s/11B/HNxc2DHuFXbc9Cr5244Rfvsg1Bpnwsb0ouZC1VWVO2tTIlG3yTyjbhtkfl6VXUSQsv/Kxd8Tr9ZBZG85gnvrQGKXzSBz1R68OoRes03UQQjB6SW/s3nkHDI3HqbNFbT11ca7RtvlaDKurYNwDpdjRcCEgZRsOnjJPHVwCvKl4OetJI2YwYlbX0Ht5oxHN7k8/j2jrlqHLtYWjp4aVI5qANpOiSN//2mK9sqnVm6fMJ8/B06npqickoPnzB1DuPaYbYvE77fwzZi5fDNmLuc2HabLrXIbBfeIoqZCe8m9hRejk7rxMB0UOi17RKGv0KK1oaMtKENfqaNlD1lmHW6NJU2xHcv9ia1H96JYGayozC7GI9QfTetA3NqF4N2zLV7dIpvENzn5e5L5zSYO3PIahtIKTn272UpfmyoWqV2ccHB1BqA4NZfc4+l8OnwGZzYdIvpWxU/0aEN1ha7RvYUXQ2DnVox5/QH+88C7aIvLyUlq2m+OlG83s3X8q+y68y2yNxwi4vZBBA3vgbHG0GQ24WKxv9ave2uESlBzBXtlr0v8j84ciqaacm9KCCHuRV4+agSOAL8B7wOlyJ3H3pIkxdleP6EcVLMUaK3kfUySpL1CiOeA+xXyX0qS9IGSfi5yZ7MAyAQSJUl6RwgRibw8NQhwBJZLkjT/UkX++9vNppC4aIw6PbueW2o+Kv2mTQtZO2ouAH7RkQx6/2H5OOBtSexTPg5vTXgXtbMD1YrxFCYms/eFb+j29Hi6ThtHeVo+zm4u8gxPQRlpy7Zx+sM1dJpxK6VJaeRuSkTl7EifxY/h3aUV+rIq9j+6mKrMQsInxtJ+2jgkgxFJMvH3e7+R86dswH0+eYKAAR1x9vWgurCc7D/2Ezisu3yU+/Id18zDr087hq55mbJTmWCScMRExus/UbY1Ee9hPYmcfx9CrSJ/+VayP1xJ2IxJVCYlU7rpEO7domj/9SwcvN0wVRswFJZxNO4ZvAZHE/HyVHn9ghDkfbOB/B83mxvCaWhvOr52L0KtIuvnbaR+sJo2M2/jQlIqhRsPo3J2JHrJE3h0jcBQVknSIx+hU0bJfQd0ot28yewb82KDBh584EMOT3mTvNR8Aod1q7/yQ5FT5xm3UmIjJx9FTvsUOXV8ZgIdnhxHZWq+me7OSW9QU1w/uqoJ9WfM3rev+CqLGS+/wcEjxygrK8fP15vHH7ibW8fFXzbfoadX0FWpQ+bP2zn74Ro6zJxI2dFU8pQ69FzyOF5dWmEoq+LQI4vRZlrPJrR//lZqq6rNV1m0n3ErITf1RzIaKTiZgUFbQ8igLtRWyzZRpNjEhI0LWR0v24R/dCSD35NtImt7EnsVm7gt4V1UTg7mgFKQmMye2d8AENi/I71n38GZd1c1eTu0vmc4bR+Mx2QwUpNVSPaKBNrNul3Rp+0kf7CadjMnUpaURoGiT92XPI6nok+Jjyw261PIrbFEPTUekCjYcpTTr/2ES5Avw49+TOXZbIx6A+Uq2PbdBnb/Z6u5LJPnP0DnId3R6/R8N+NjMo6nAjBv/dssGDMD70Bf3tz3ObnJWdQq+0dsaQA8t/wVVi78nlEePk1uEy6h/kQveQJHLw0VJZXsfnYpXZ4YS50PTLiED4y18IH7lfYOH92LvgvuwcXXA325lpKTGWy+s/5URhUw5o9XcQ9vgS6/jD0W9MduWsg6C/oD3n8YB4X+AYV+2Ohe9LGgX3oygy0K/Vv2vY+juysOrk4IBzXV+WWkfb+FMx+uoaNiE3X61GvJ42b/d0CxibCJsbR/8ib5NFqTxN/v/Ubun4fQhLeg3zfP4hrki6O7KzUXKtl6z7tXVW5nH3cGf/YkbiF+VGUVsePRxejLqnBt6c3A9x+RD48QcOLjdaSt2k2fuZNo/9iNmAy16EsrqSksp/hICrlbjlyTb7ph3/sk3PUWFcm5VKoE/RbeS1PHO4CJ+97Hxd0FlZMDtRe0nJz0Gi5hAUTOl6+yKPh5K1kfriJ85h1UHk2hZNMh3LtH0eHrmVax4siQZ/EaHE3kK/eaY0Xu1xtw6xyB99DuVOsMV61DF2sL/5g2xH7wCJIEZWey2Pv8FziUVhE4rBvdFP9UuPsULi28KT2e1mQxu7KonIT3V3LsPztoDCNfu5fWQ6Ix6PSsf34pecflut63fiHfjJHrGjd7Ep3GD8CjpTcV+WUcW76dhA9WmWm4m2DwgntpFRdNrU7PX9OXUqDI7I4/F/Kf0TKdFtGRDH9PllnGtiR2vijLbMQHjxLQuRWSJFGRVcS2F75GW1CGo8aZ4e8+THC31ri09Ka2spr0z/9oEt/U7bMn8egkrwJJfm8lh/84SP8F9xIaF92kscg91J/4ZbPAZKIkv5R1M7/ggnKWwujXphI1RJbZ2uc/J1eR/UPrF/HFmDkADJ89mS4Wsj+yfBs7P1jFnctm06J9mLlDWZ5TRP63fzVprENA7A/Po3JyxDXIB6FWU5VTzJ5nm8Ym2k8dSft7hmMyGjFWGzj06jIKD53jnuwfBfAzEAf4A/nAy8A/2zP1L0D74aPN2knSPP2ZuHyqfx/XZefw/yK+CbmrWQXpcR1vXL1SBFN9+UTXiHJT8+7NqFCpm5U+wITjrzU7j/Vd5jUr/SKH5l+U4GlsXpvQ/Aujemtday+f6Bpxs655dTbPofl3J/wbS1zcm3lfY6W6+Wvh+i/EiUpV837LtDM2f5xIUbtcPtE1QPMvtEOyU/N/U7o3swtso29+/5ft2Pz+KUfdvO3d4dIT7E0CXTPbNVDXOfw/Be0HjzRv5/CZzy8rEyHEaOBDQI08wfVGI2luR95yJwFJkiRNuZZy/V/Zc2iHHXbYYYcddthhhx122PE/ASGEGvgYGAlkAQeFEGslSTplkaYtMBsYKElSqRCixbXytXcO7bDDDjvssMMOO+ywww47LPHf3xfYB0iWJCkVQAixHBgPnLJI8xDwsSRJpQCSJP2zI9AtcD0eSGOHHXbYYYcddthhhx122PH/LYQQDwshDln8HrZJEgKct/g7S3lmiXZAOyHEbiHEPmUZ6jXBPnNohx122GGHHXbYYYcddthhiWbePyxJ0lLkgzSvBQ5AW+SDfkKBnUKIrpIklV0LQTuaAE7/x8+L+TeKr3EyNDuPvBrnZqVf7ND8+6mb+7AYgDEnFjQr/R+7vdSs9AFqRPO2RRtnbbPSB3CmeQ/GAAh0ad56FBuu/vLqq4X2X1jjEu3cvEetH61tfjmFCd3lE10j/kbTrPTLpOa/8N3HaGxW+o7/wkF/UfrmPxytsJnjXcG/cJjVv3E4UKFD8x6sE6Zqfptw+D/+Dfv/MbKBMIu/Q6m/2q8OWcB+SZIMyFfxnUXuLF7ZvT+NwL6s1A477LDDDjvssMMOO+ywwxKSqXl/l8dBoK0QIlII4QRMAtbapFmNPGuIEMIfeZlp6rVU2945tMMOO+ywww477LDDDjvsuI4gSVItMA3YCPwN/CJJ0kkhxHwhxE1Kso1AsRDiFLANmCFJUvG18LUvK7XDDjvssMMOO+ywww477LDEdXDHuCRJ64H1Ns9esvi/BDyn/JoEl+wcCiG8gSmSJH3SVAwvwudnoDPwjSRJ7zcnryuFECIO0EuStOciSawupbR9qXJyYMBHj+LbNZKa0goSHl1CVVYRAJ2njSNqchySycShed+Tu+M4mmBf+n/4KK4BXkiSRPKP2zjz1UYAfDqHE/vJNNzCAwBIW7aNo3O/a8Cv90eP4RMdgb60kn2PLEabVUSLwV3oOncSKkcHTIZajs3/icLd8gm4oTf1o8PT4xFqFbmbj1Cw5xQ95t+NUKtI/Wk7Z5b83oBHH4VHjQ2PaAseSQoPtasT/Zc+hVtESySjieq/9pH75vcAeAzpScjLDyLUaoqXb6Lg05VWvNz6dCbk5Qdx7RBB+pNvc2F9fTMEzZ6K57BeCJWgYtdRsl/5wvyu5dBool+7B6FWkb5sG2cbqUOvxY/hHR2JvrSSA498hPZ8kfm9a4gfI3e+zd/vrOTcp38A0PP9hwkc2YOaonJ+HjkbgIGv3k34sO7U6mrY9txSik6kN1AQ/64RDH3vERxcnMjcepTdL/9g9T764RsY8OKdfBv9KNWl8n6n4H4dGf72g7gE+4JJ4sw7KznXSB16Ln4Mr+hIDKWVHHzkI3Q2dRi2821Ov7OSFKUOrR++gVZ3DgVJovzv84DgSnaazlv0Hjt3H8DXx5vVP3522fSW6Dv/bkIVGSU8u5TiRmTk1zWCQe8/gtrFiaytR9n/kiyjXvMmEzayByZ9LRUZBSQ8txR9uZbgQV0YvOQxnDw1SEaJQy//QPKP2xrQ9e0aQf8PZNlnbz3KoRdluk7ebgz6bBpuoQFUZRWy65HF6C9o8WwTRP/3Hsa3awRH3/yVvz+r98MB94/Fb/IoVG6uqFycMFXqKF6+mfxPbHW2E6EvP4hrxwjSp71DmYXOBs+5V9ZZIShPSCL75S9oDLe+PJVOQ3ug19Ww7PlPyTqZZvXe0cWJ+z95Fv9WLTEZTZz46zC/v/kzAFF9OnLLS/cS3CGc7578kKMb9jeg35R2V77tMCEvP0iUypHkn7dzqhE9vRofqHJ2ZOSqeaidHBAOajL/OMDxd1aZ6fWffzdtJw7Cyd2F38a81Kg++XeNYIiiT+e3HmWvok8xz0+kVXxPMEnoisrZ8dznaPPL5Hr170j/V+5C4ygwlpSTfMecZvNPfWxsouQiNhFrYRMHlDq0GtuH7s/dgnfbYNbd+DLFx2TdcA/1Z8L2tyhPzcUZE5WHz5L2wud4xfUg4rX7ESoVBT9vIWfJb9a60LcTEfPvR9OxFecee4+SP/ZavVe7uxK9/SNKN+4nfW6DEGdGU9t5QLfWdFog+/Dzy7aRsth6BZXKyYFuSx7HS/HhRx7+0Oz/PDqF0/XtB3Bw1yBJJnbHz8NUY6D97NsJuW0wjt5ubGx9HwFDu9FFiROZy7aRvKQhj+6LHzfHicOPyDxcw/wZuvNdKlNyACg9nMzxWV8BIBzVdF10H34DOoHJRN7v+wm6qR+oVWQt20qaTT2EkwPRS57AU/HjSQ9/iO58IUG3DiTy8XH17dQpnD0jZlNxMgPhqKbT6/fjO6ATuDqhUgmMOn2TxGuAISvn4trCG2O1fD7Ab3e9ScxT42mltO9fF4l1AV0jGKbEuoytR0lQYl3vZ2+h45Q4qosrANj35i9kbktiyBv30/6WWNTODqSv28+uxz5uQNO3awQDFZ3J3nqUgy/V+/DBn07DPSyAyvOF7HxU9uEALft3pPerd6FyUFNdUsGmiQtpPTmOXoumAlBTVomjxoXjb6/gzJd/muXU76PH8O0qy2nPo4upyirCyced2KVP49u9NWm/7OSwxTfXsBVzcW1ZL6fj9yygsrjc/L45/Hhz+I6gZoqnETcPoPMTY0EIaqt07H/hW8pOZVqSVAOHkPfOjW3A0I7/Oi63rNQbeNz2oRCiyWYchRCBQG9JkqKvtGPYlPwvgThgwEXe1V1KeQPQCZjs2TbYKkHU5Dj0ZVWsHTid01/8SY95kwDwbBtMq/H9WDd0FlunvEXv16ciVAJTrYnE+T+xLm4WG8e+QrupI6ij2WPeZBw9Xdk0eAb7HvqQiDsG49HO+iTbiMlx6C9U8eeA6ZxduoGu8yYDoC+pYPc977B52AscfOoz+ix+DAAnH3eiX5rMztsXsTluFi4tvej93sPsuvMt/hwyk/AJ/RvwiFR4bBgwnXNLNxBtwSPhnnfYNOwFDjz1GX0VHgBnPl3PxkEz2DxyDm69OuIR1xNUKkJfe4TUe1/l9Ign8LlpMM5tw6x4GXIKyZz+IaVrdlg918R0wK1XR87EP8XpkU+i6dYW935d5JcqFd1ev4/dU95i8+AZhN48oKGcpsjtsqn/cyR/voEuSh3qEP3qXeRtTbJ6lvGfneyZ/Kb57/Ch3fCKDOTnQdPZMesrBimBxxaDF93Hjplf8vOg6XhFBhIWF21+5xbkS9jgrlRk1XfqnDw1xC6cinBQsTV2Bpv7PUtII3UIV+rwV//nSPl8A51t6tDl1bvIt6iDS6APrR+MZ0f8XLbFzUKoVQhnt0bLbIsJY0by2XtXf3hN6LBueEYGsjJ2OntmfUX/16c2mq7/6/exe+aXrIydjmdkICFDZRnl7DzO6mEvsGbkHMpTc4meJn8seUYFUXomi+8j72Pv9C/oveDeRun2eeM+9s/4kjUDp+MRGUiwQrfztHHkJZxibezz5CWcorNCt6a0ikMv/sCpz6wG53BpF47f5FGcGT8TjCZq0nJJue81fG4ahEsDnS0iY/qHlK7ZafXcTdHZ06Oe5u+RT+EW3aZeZy3QKa47AZGBvBb3NP+Z8wW3L3yg0bpt/WIdC4c/x1s3zqJ1THs6xnUHoDSniGXPf8LhNbsbzdfUdhf+1pOk3vsq6+JmEjG+H9fsA2sM/HXbItaPnMv6kXMJjovGr2cUAGHDuuEfHUnm5kSMNQZiL6JPA1+/j10zv+SXWNnmQpV2P/bZH6waOYdV8XPJ/OsIPZ+5GZBtbuDCqWy87z3OjJxG+uNvNpt/ClFsYlXsdPZewib6vX4fe2Z+ySobmyg7ncW2hz4kf9+ZBnkqMvJZO2oux0dOJ+2Fz0GlInLRQ5y+cwFJcU/jN34Qrm1DrfLoswtJeWYxRb/tarQcoTMnU7H/ZKPvzGma2s6fHEfnN+7jwJQ32THoeYJvHoC7jf8LmzIUQ1kV2/s9S9rn6+nw4hQAhFpF94+f4PiMr9g5ZAb7bn4Nk0E+KCR/UyK7RysHfakEXV+/j/1T3mTb4Evz2Nr/WVI/X0/HeVPM76oy8tk5YjY7R8w2dwwB2j5zMzVF5Wwb+BwJQ2YQPDGWQ1PeIGHQdIJuHoibDY/QKUMxlFWyq98zpH/+B+2UeuSu3M2e4S+wZ/gLHJv2MbrMQipOZgAQ9czN6IsusCv2OSR9LQn3vtuk8Rpg/7RP2DxyDptHziEgOhKvyECWDZrO9llfMeQSsW77zC9ZpsS6cItYd+zLP/ll9Fx+GT2XzG1JhA/thkdYAGvvfIOTn/5BYP9OjdLs9/p97J35JasVnanz4V2ekH34asWHd3lC9uGOnhr6LprKtqnvsXbYC+x8ZDFCJej05E38MWQGK9o9QE1xOUa9gfMbDpn5tFb81LqB0znzxQa6KXIyVhs49vavHJ3/U6Pl2/vEJ/w5cg5/jpxj1TFsDj/eXL7DKyqIsjNZ/NDE8bTyfCGbb13AH8Nnc/z91fR7635bkk8jL5G87iGZTM36u15xuc7hG0CUEOKoEOKgEGKXEGItyuWLQojVQojDQoiTlndzCCEqhRALhRBJyp0bLZXntwkhTijP676gNgEhCo9BQogoIcSfCt1dQogOSt5vhRCfCSH2A28JIdoIIbYotBKVfEII8bbC47gQ4g4lb5wQYp1F+ZYIIaYq/08XQryq0DguhOgghIgAHgWerSuXjVz6AMnIGz71wPKw+BirBKHxPUn9VQ66mesO0DK2MwBh8TFkrNmHSV9L1flCKtLz8esRRXVBGaXH0wGorarmQnIOmiBfABw8XKkpKqcqsxAHNxcq0/IJtuEXPDqGjF9kkWavO0CLQTK/shMZVCsj5OVnslC7OKFycsAtvAWVqXnolRG9qswiJKORqsxCJIOR82v2EdIIj3SFR9YV8DDq9BTukUckJYMR3YkUHAP90XRvS016Lvrz+UiGWkp/34XXyL5WvPRZBVSfTm84pS9JqJwdEY4OCGWGwVAk89Z0b0tVWj7azAIkg5Gs1XsJsqlDUHwvMn/ZpchpPwGx9R/pQaN7UZVZSMWZLKs8xftOoy+rP8kwYlQMZ1cmAFBwJAVnTzc0Lbyt8mhaeOPo7krBkRQAzq5MIDK+l/n9gJfvYt/C5WBxql3bCQMoOJpM5blctJkF1OSVkr16L4GN1OG8Uoecdfvxt6hD4EXqoFKrUbs4IdQq1K5OYLqy0/p6de+Kl6fHFaW1RHh8DMkrZBkVJqbg5OWGq42MXFt44+jhSmGiLKPkFQm0Gi3LKGfnCSSj7DgLElPMtuDbMYyzy7YDkLF6L0KtQhPi1yjdIoVu2ooEwhS6YfExpCqyS/1ll/l5TXE5xUmpSLXWcnFpG4r2yFlcO7SiJj2X8h2JeI3sI+vsqD5WaWWdzWjg8CVbnXV0MOusJbqO6s2BVbJ9pR85h6uHG54B1jIzVOs5t1f+YDcajJw/mYZ3oCybkqxCck5nIl1kk3tT2p3a042a8/noz+djMhjJWLOPa/WBALXaGgBUjmpUjg7mye1W8TE4e2rYv3A5kknCybNxfXJyd6VAafdzKxKIUGzOUFl/iqeDqzOSYndREwaQvuEgVTny9oza4gvN5p/C42NIuQKbcLKwiZQVCYQrOnohOYfylFyuBO492lCdnktNplyH4jUJ+MRb62tNViHavzMaveTZrWtrHAO8ubAjqcE7SzS1nft0aoU2LQ9dhuzDc1bvpeXoXlb0Wo6OIUuJQ3m/1/s//7hoKk5lUqHMUBhKK83tU3Y4mZqCMgC8e7ahKi3PHCdyVu8lMN6aR2B8PY9cmzhxUVlMiiN58RqZR48otCm55nrkrd7TSD16kaPwyP99P36KfVgi6OaB5K6un5UOmTyU1I/W4N2zDZXp+ZQdS2+yeN0YIkfFcEaJdflHUnC6SKxzcnclX4l1Z2xiXWM0T/+yk7yDZ7mQnIPKyeGiOlPUiB2ExceQoviVlF/rfXjrmweQaWHL1cXl+PWIojI9n6rMQkwGIyXH0qjV1aDNrh+UDY2PIe1XWU7n1x0gUGkHo66GogNnMdZc3SnrzeHHm8t3+DRTPC06dM48m1uUmGyO3wpCgRtpZMWdHdcPLtc5fAFIkSSpOzAD6Ak8LUlSO+X9/ZIkxQC9gKeEEHVa5QbskySpG7ATeEh5/hIQrzyv20h5Ux0PSZJ2Id/38aRC93nAcklrKDBAkqTngGXAxwqtAUAucAvQHegGjADeFkIEXYEciiRJ6gl8CjwvSVI68BnwvkW5LNHgUkrXIB+rBJpAH6pySgCQjCYM5Vqcfd1xDap/DqDNLcE10DqvW6g/vl1amY0x47e9uEe0ZMyhj4h+aQrpv+xskMc10AedDT8nX3frQt/Yh9Lj6Zj0tVSm5+EeFYwm1B+hVhEY19Wyn9Joua6WhyUcPTV4juhD5e4kHAP9MOTWO2dDbhGOgdYO6WLQJp6hcu9xuhz8li4Hv6N85xFqkuWOkGOgH7qc+j24utwSXK2dEi5BPuY0ktGEoUKLk68Hao0z7aaN4+93rJePNQa3QB8qLfhU5pbgZtuGgT5U5ZY0miZiVE+0eaUU/221zAKvyEA0Lbzx7BTGkI0LCbttELrcElwuU4daizq0nTaOMzZ1qM4rJfnTPxh1eDHxxz7BUK5DMjTvkfey/tfLqCq3BE1gQxvR5lrbgm0agLaTBpO17VgDuuE39sZQocXFz/qKAFcbulU59brs4u+JTvlI1BWU4eJ/6esFdGcycevTCZeoEAwFJXgNjcEpyB99bjGOLa9cZyv2HKfLoW/oeuhbynfU66wlvFr6UGYhs7K8YrwCfRukM9fTU0OX4TGc3X3iisrRlHanO3eempT6OmhzS2gKHyhUghs2L+TWY5+Qu/M4xcoHZ8te7chOOGluu6orsDnbNL1m3sbkAx/S5uYBHFZsxKt1IE5ebtz461zarXsPn1uGNpt/ulKbsK1DYzZhC/fwAMZtXECnla/h0acjToF+6C146XOLcQq6uC5ZQQhavTyVzPnfXTZpU9v5hZRcKx9enVOMi01alyBfqrOtfbijrwduUUFIkkSf5S8Qu3kRrZ8YR2NwCfSx5pFbjEtQQx6NxQkATXgAgze/zoDfXsK3b3sAHDzl6z3az7yNwZsW0f6Vu9GXVFjUowRnG1t2DvJFl23px3U4+loPxAWN70/ub7uteLSddTtdP5mGe2Qgzor/asp43fv9Rxi5eREdn53QINZdzO4qL2F3Xe4dyR2bFjH0nYdw9tI0oFlbVX1VOuNq48NdFRl4KLY86te53LjhNVpPjJXpWPDyiGiJ1mK1Tp2ctBZy0jcip8bQ9/1HGL15EZ2fmWD1vDn8eHP5jn8jnkZNjiNHid8KPgBmAtfvtJklTFLz/q5TXO1ppQckSbJcPP2UECIJ2Id8D0db5bkeqJupOwxEKP/fDXwrhHgIeWmmFYQQ7sgdvV+FEEeBzwHLzt2vkiQZhRAeQIgkSb8BSJJULUmSFogFfpYkyShJUj6wA+h9BfWq29hiWdb/Chw0zgz68mkOv/Qjtcpod1BcV4oTk1nf6ymSXv6RyClDr5quZ7sQus6bROJMeRmM4YKWIy98Tb/PnyRu9UvynoBrvJvJs10I0fMmcXjmV1bPhVpF30+nUfTNOvTn86+Jh1OrIJzbhHKy3/2c7HsfHgOicevd+LKUq0HHGbeSvHQ9RmXmorng4OJEj2k3cfDdFQ3eqRxUeIa3oGD7cfZOfoN2z96McwuvK6bdYcatpDRSB0cvNwJHx7C5z9Ns7PYEDhpnhPPlg9/1gOinbkKqNZG6ynqppHe7EHrMnUR5cs410b+cytckZ5H/6SoCn7odzyE90Z5Ku+qlIE6tAnFpE8bJvg9wos/9eAzoilufa9NZlVrFvR89xc5v/6T4fME10boS2Nqda/tWOPhfvtNytZBMEhtGzuW3mKfw6x6FV/tQXFt6o2npTdof//jKJgAOvfUrP/d5muTf9tDpvpGAbHP+0ZFsvOcdUu5+mcCn7sCxxRV2ohpBc/mnS0FbUMaKPs/we/w8Ml75hjafPIvKxekf02s5dTSlWxPR517TYXdXhTo7z99/+h/TUKlV+PZtz5HHP2bPTa8QOKYXfoMazsZdC2ryy9gS8yQ7R87m5Ms/0POTJ3Fwd0XloMY1xI/SQ2fZOWoO2pQcvHq0uSZeXj3bYNTVUHlaHlwQdTwOnuXs/J+oKS6n28t3/mP6jcXr/U98wqZhL7Btwnz8+3bA/UoHFC6CEz9sYVnsc/wnfi7agjIGvPjPy3sx1PlwlVqFX3QkW+95hy1T3iT6mQm4tqz3USpHNT5dIqhIu7ZvEIC90z5hw/AX2DJhPgF9O9D7lsH/iM6/7ccvhuaKpy0HdKTN5CEkLlxe92gsUID8rW3HdYyr3btXVfcf5cCWEUB/SZK0QojtYL7R2SBJZjUx1vGRJOlRIURf5Cnlw0II63UQcme1TJmpvCT/q0Qt1h1h25un676mzWW9DLKBMGUp7cOLFi0KbKe3/ojX5pXiFuyLLrcEoVbh6KmhpqQSXa78vA6aIF90eaWA7PwHffk06av2WK2Jb9GvA8UHzwKQ9ft+ei9+jEybj2VdXimuNvz0JfJSSNcgX/p//SwHn/qMqox6B5S7+Qi5m48A0HnuHXh1qN+TYlmuK+Ux4OtnOWDDAyDm7QeoTM2j6mt5Q74hrxjHIH/ze8cgfwx5V/Yh4jW6H9ojZzFpqwEo33YYt54dqDp4CkNeMV7B9SP8rkFyWS1RnVuKa7BffR08NOhLKvDt0YaQsX3p8uIUHD01YJIw1hhI/XoTAOG3DcI9oiUT/1xIYVIq7hZ83IN8qbKRVVVeKW4WgbUujWdECzzDArht4yJA3nt464YFrBr3MpW5peQeOINfS1/0JRUU7/sb7y4RygEyDetQrdTBQamDT482BI/tS2elDpJJwlRjoKbwAtrMAvMS4tz1B2kR1xappmkv/Va5eKJykUe+tfkZuFnIyC3IF62NjLR5pVbLTTQ2adrcPoiwET1IW7ufmzYtBKDoaCq+ncPp9EA8e57+jP7vPdyonlrSdQuu1+XqonJcW3jLI84tvKmx2CtyMZT8ZwvV584T9OxkjBcqMeQW4xTkhyH/ynTWe3R/qo6cqdfZ7Ym49WxP1YFTDLp7FP0nDwcgMykFbwuZeQf6cSGvpFGak15/mMK0PLZ/vb7R942hKe2uct8Jq32TmiBfdLkN2/dqfaC5rOVaanU1DPt5FsYaAw7OjoxY+hS12hocXJ0I7Nv+sjbn1ohdAiT/tofR3z9P4rurqMotpbr0GLW6Goz6CioPnETl5tpkcqotrSDi45nUFpVx/uiV2YRtHWzT2MKkr6VGL9ty1fFUatLzEA5qnCx4OQX5oc9tXJds4RHTHo++HQm8dzQqNxeEowPGqmrOL/oRgA73jqDdnfIAZdHR1Caz8z9vfx3fzuG4WtBzCfaj2oZedW4JLiH1/s/RQ4OhpAJdbgkle09jUGbsCrYcxatrJMW7rPdNVueVWvMI8qM6tyEPSx9bFycATIqsLxxLoyojH7eoIC4kpVKrrSZXGcDI33CIlmPrlyK7BPtSY2PLNbkluIb4UWP2467msgMETRhA7m/1S0oNJRXUaqvJ/+MA3jFtMNYY8O4aYZZpU8Tr6rxSoqaOpPWdQ3H0dqNGW20V6xqzqaq8UqtOpGUaXZHsX7vcO4LI+F54hgdwdtVuK5oObi5XpTM6Gx9erfhwbW4pNYot1+pqyN93Gid3FzQKr6Bh3dEVXKDSpnOoyytFYyEnJws5XQx1sq6tqibjtz30mzSUoQ/eCDSdH28ZFUybvp0Y9eQtaI+kNZnviBjbh4HvPAjI9uvTTPHUu2MY/d55kK13vY2+1CzPgcirBccgf4d7Aj8CdzUqoOsBV3YX4f93uNzMYQVwsQ1HXkCp0jHsAPS7HDMhRJQkSfuVI1gLkWcbzZAkqRxIE0LcpqQXQohutnQkSaoAsoQQE5R0zkIIDbALuEMIoRZCBACDgQNABtBJSecNDL9cWS9T94NAW0mSNkuSNGD27NnFztsyrBJkb0qk9W3yVsXwsX3IT5D33mVtSqTV+H7yvr+wADwiA81Lp/q9+yDl53I4vXSDFS1tTjFeHcLQhAXQMq4rkslE7kbrgZfcjYm0ul0evQoZ24eCBDkgOnpqGPjD8xxftNzcwayDs7J8wNFLQ1BcN1RqNZqwAISjmrDx/cix4ZGzMZEIhUeoDY/Yi/DoPOs2HD01HH2p/qRObdI5nCODcQpriXB0wGfcIMo3NzxZsTEYsgtx79sZ1CpwUOPerwvVyefNdN1bB6IJl+sQOqE/uZts5LTpMOG3D1Lk1JfC3XIddk6Yz8beT7Ox99OkfPEnZz5aY+4YAmT+uovK9HxWjJ5L2sbDtLs1FoAWPaLQV2jRKksrzHUsKMNQqaOFspeq3a2xpG86TMnpLL7r8QTLBjzLsgHPUpVbwsob5qErvED6psN4hAbg1joQ97bB+PRsg1d0JHk2dcjbdJgwpQ7BY/tSpNQhYcJ8Nvd+ms1KHc5+tIa0rzehyyrCJ6atvNcQ8B/UGYxXt4/iSmCqLqe2LJvasmwyNx6mzURZRgE9o9CXa83LT+qgKyjDUKEjQDl0pM3EWDIVnQuJi6brY2PZMvU9Tn35J2tHzWXtqLnk7DpBzOw7OLzoP+YlQBej66/QjZwYy3mFbtamRForsmt9+yDz80vBwc8LbdI5XNqE4jM2lrI/duMzbhAXNh+4Irnocwrx6NfFQmc7U60sNdz1wybeGjOLt8bM4timg/RRRqAjerSlukJLeWFZA3o3Tr8DFw8Nq65g2Z8lmtLunFsFovbQ4BTWEpWjmlbj+5G1KdEqz9X6QGdfD3lgBlC7OOLkoeHAzK9Y2/85tjyymKJjaSzv/yzGGgPFJzMabXd9pY4WSru3nRhLhmI7npEtzeki4ntSpuy/ydh4mMDe7eVDmlyc0HRvR/lfB5tMTioXJ87P/pgzY54hc+Nhoq7AJvQWNhFlYRMXg7OvB0Il5P+Ht8QlMoiSLYdwiQzCOawFwtEBv/GxlG66spnX5GkfcKT3Ixzp+yiZ87+jaMV2c8cQ4PR3W8z22JR2bqzWy53N1oG4Kj48eEJ/8m3qn7/xMKFKHAoc15ciJQ4VbjuGR8cwVK7y3mq/AR2pPJvdoH4XjqQ04GHrY/M31fMIsvCxTn4eoMhaE94Ct8hAtBn5Sp5E+aRSwNHHHYQw8wicMIACm3oUbDxMsMKj5bi+FCdYdGKFIPCmflb7DQEKNyXiO7ATF46k4Nk2hKrzRU0Wr4VahZOvOynfbmbLDS9SejSV7D2naK/EupaXiHX6Sh0tlVjX/tZY0hR51u1PPPHdFk79vI20TYdJ23jYTNO9VQtM+trL+vAoGx8epfiVqNvqffj5jYdp0Ue2ZbWLE/49osjafBSPyEDcwgJodfMA1M6OZNm0dfamRCJvk+UUNrYP+QmXPoSpTk4gD+gHj+hB4u+7m9yP56fksGbRj7w1ZlaT+o70dQeaPZ5qQvwY8uUz7H7qMypS8yzJzUbeHhaBfJn7Vq7njuH/MIR0mXVVQoifgGhAB+RLkjRWee4MrEZu5DPIJ5u+IknSdiFEpSRJ7kq6icBYSZKmCiFWIS89FcBfwDNAK2CdJEldlPSRyHv/ggBHYLkkSfOFEN8q6VYo6doiLzv1BwzAbUAa8BbyKaISsECSpP8o6d8CblbSVAJrJUn6VgiRDvSSJKlICNELeEeSpDghRDtgBfK66Ccb2Xc4BnnttBr4elnwXQuiZ9xKcVIa2ZsSUTk7yse4d4mgpqyS3Y8toTKzEIDOT91E1KQhSEYTh1/6gZxtxwjo045Rq1+i9FSm+bCEpNd/IWdrEgF92tH//YfNI2BpP2/n6Oxv6TTjVkqT0shV+PVZ/BjeXVqhL6ti/6OLqcospMMzE+jw5DgqU+tHy3ZNeoOa4nL6fPIE3p1bAXDqvVUYKnR0V66ySFu+g9MfrqHzjFspseHho/DYp/Do2AiPnZPeQOXkwNjExZSfy8ZUU4uzMFL4/R+ULN+Mx9AYQl56EKFWUfLLFvKX/Ergc1PQHkumfMsBXKPbELl0Dmovd6QaPYbCMs6MnCafJLjgUfkDTJIo35FIzmtfm/lWxcYSrdQh4+ftnPlwDR1nTqTsaKq5Dr2WPG6W04FHFqPNtJ7p7Pj8rdRWVZuvsuj96TQCBnTEydcDbVE5h95diX/XCMLioqnV6dk+fSmFytHQE/9cyIrRcwEIiI5k6HsPy8fqb0si4cXvscWde95n5Y0vmq+y6PbIjXS7byTOAV7UVlaT+vl6zn64hg5KHfKUOvRc8jheXVphKKviUCN1aK/Uoe4qi/YzbiXkpv5IRiMXjqcTODSkQVkaw4yX3+DgkWOUlZXj5+vN4w/cza3j4i+b78duL9Fv4b2ExEVj1OnZ9dxS8/HZN21ayNpRsoz8oiMZ9L4so+xtSeybJ8vo1oR3UTs7mOVSmJjM3he+odvT4+n27M0gSUgmiarsYjZNeI2a4nLGbF7I+pEyXd/oSAZ8INPN2ZbEwbkyXScfdwZ99iRuIX5UZRfJR2+XVeES4MUNG17D0cMVTCYMVTUkj3gcU6WOtisWofbxNB80IukNFP/nr3qdPZ5M+eYDaKLbEPnFbCudPT3iSVCpCFv4CO59OiMBFdsTyVZ09huV9SKG2+bfT8ch3dDr9Cyb8Snnj6cCMHP9m7w1Zhbegb7M3/cpecnZ1OrlDv6u7zay9z9bCY+O4sHPp+Pq5UZtjYHywjJeH/U890v1+0ub0u4qEpIIeelBDCoHUpbv4ORHa7kWH+jdMYz+Hz6CUKkQKkHG7/s58f5qALQqGLDgXsLiovEID2D12JcpUvTplo0LWRUvt7t/dCRD3nsYBxcnzm9PYo+iTyOWPoVXa3lPWmVWEQmzvzGPqkc/eiPtbh+Mi1RLyfLNFH69tln809FaT/pa2ETCJWwi1sIm9it1CB/di74L7sHF1wN9uZaSkxlsvvMtWo3pTffnb0WqNeJsMnL+neWUbT6E97CetHr1foRaRcHyv8j5aCWhMyZRlZRC6aaDuHVrQ7uvZuHg7Yap2oChsJRjQ5+x0seA24fi1i3K6iqLv4XGKk1T23n5hkN0Uq6ZyPp5O8kfrKbdzImUJaVRsPEwKmdHui95HM+uERjKKkl8ZDE6ZfYr5NZYop4aD0gUbDnK6dfkkyY7vDiF4FsG4BLoQ3VeKcV7/8a7e5R8XcbP2zn34Wraz5xI2dE08jfJPHoseRyvLhHoFR7azAKCbuxD+5m3yaegmiTOvL2C/M3yoIhrqD89Fj+Oo5cbhuJysn/ZSdQzNyv12EbqB6tpM/M2LiSlUqjUI3rJE3go9Uh65CNzPXwHdKLdvMnsG/OilaxdQv2JXvIEjl4aak0Sjh4akKQmide12hqGrn4R4aCWdWbXCba8tozY+fcQrsS6rRax7vY/F/KLRawbpthd5rYkdimxbvgHj+LfuZVsC1lF7Hjha7QFZQxacC+d7xwGQpn5Lqtiy+Q3GPTxE6yz0JkB78s0s7clcUDRGWcfdwbX+fCsInY8KvtwgM6P3kjUHYORTCaSf97O319uJHxoNDGv3YN7eAtOfrSG42+voKsipzo/1f+jejntfkyWE8C4/R/g6O6KyskBwwUt2ya/QVVWESN+exGVIqe8XSf4ZNG3SBb7x5raj28cOrtZfEd0M8XTfu88SNiY3lQpB/9ItUY23PASd+X8KCzUOQ75XJHr+iqLqvl3NuvGQLeXlonLp/r3cdnOoR1XhmXBdzWrIJ2buZ3+DS1o61Rx+UTXiNSa5t1LV+B4tdt0rx5BhuZfxjDmxNVfT3E1+LHbS5dPdI1wbGal7ezQ/Ppq2zlsDlh2DpsDJw2XPtSnKaBtfrOjt/ryS4yvBUdrm19OHSRts/Ow7Rw2NVrYnBjcHDA18+eY47/wXVWhanBsQ5Oj0KF5BeX+L6zY+zfaYq9T7eUTXQN6GhyblT6Aw7/wEWjTOfw/gf/VzuG/cV+gHXbYYYcddthhhx122GHH/x1cx3cRNifsnUM77LDDDjvssMMOO+ywww5LXMfXTTQn/oXFOnbYYYcddthhhx122GGHHXZc77DPHNphhx122GGHHXbYYYcddljif/QqC3vnsIlQ3cxzsEapefesqv+FmfPzNW7NzqNc3bwNofkX/ESRQ/NP6Df3gTF3Jc1vVvoAq7q+ePlE14CVqubX1+HVzc4ClUvzGndJ85+Lgb+x+R3Ufpr3wBjXZqUuw8ezeQ8fAnAp/zdq0rwob+bDXJz+hUNQ8pr5sBiAe4blNiv9uTv8L5/oGvHmg81/mIvP4uZti+J/wcf+by6etONisHcO7bDDDjvssMMOO+ywww47LGHfc2iHHXbYYYcddthhhx122GHH/yrsM4d22GGHHXbYYYcddthhhx0WkOxXWfz/ByHEBOCsJEmnlL/nAzslSdrS3Lz7zb+bsGHdqdXVsPPZpRSfSG+Qxq9rBIPffwQHFyfObz3Kvpd+AKDn8xNpFd8TySTh7OWGJEnUVujY/exSShqh49s1goHvP4LaxYnsrUc5qNBx8nZj8KfTcA8LoPJ8ITsfXYz+gpbOj95I5C0DABBqFV5tQ1jZ9TGCh3en71v3I9Rq9BeqOPnRWs58tdHMR+XkwICPHsW3ayQ1pRUkPLqEqqwiADpPG0fU5Dgkk4lD874nd8dxVM6OjFw1D7WTA8JBTcWJdHy6tUaoVWQu20bykrVW9VA5OdB98eN4R0eiL63k8CMfojtfhGuYP0N3vktlSg4ApYeTOT7rK9RuLgxc87I5v2uQH8m/7QYhCFVkn3ARmfl1jSBWkVnW1qMcUGTWamwfuj93C95tg1l348sUH0sDwNnHnbilT+HfrTUpv+xEMkmEDOuOUVfT5O0iAW5Bvjj7uFN2LpsdT312VfrTe95kwkf0wGSopTyjgF3PLUVfriXq5gF0ffTG+vJ1CqcqpwT9hSoSLqGjgyzktF/h0WveZMJG9sCkr6Uio4AEhUfwoC7EzLkDB+8QQMJYVYxkuPTGunmL3mPn7gP4+niz+sfPLpnWEoFDo+kx/26EWkXqT9s5veR3q/cqJwf6fvQYPtER6Esr2fPIYrRZRTj5uDPgi6fx7d6a9P/sJHHudwA4uLkwbHX9Xsyxwb4krU5g/fwfzM9ufPke2g3tjkGnZ+Xzn5F7sqHMRjx/Oz1uGYSLlxuvdb7f/LzHxMGMnj2F8vwSAPZ9t4kWmSV0fe0eUGziXCN16Ln4MbyiIzGUVnLwkY/MNjF85ztmmyg5nMyxWV9b5e3z3XTcWrUgffTj5mfuQ3oS8tJDoFZR8p/NFH66wiqPW5/OBL/0EC4dIsh88i0ubNhTL+8X7sVzaG8A8hcv58K6hIu0DAx+9W5aKTa45bmlFDaiWwFdIxjxnqy/GVuPsvNlWc6jP5mGd+sgAJw9NdSUazm5cDk9X7sboVKR8vN2/m5ETv0+egzfrhHUlFay59HFVCltHbtUbuu0X3ZyWGlrgLhlM3Fp4Y3KQU3B/jNsm/ct/V+5i3Cl3NufXUpRI+X27xpBnGJ3mVuPsuelH6zeRz98A/1fupPvuj5KdWklQz98lNY39kHt5MjfX/7JoVeXNaB5tb6iZf+ODP36WSrPFwKQuf4gxz5YLcvCw43ABc/gHN0eBz9vjCVllC37nZIvfrXi6TP1ZrwmjgajkdqSC+TNfZ/anAIcglsQsvhFUAmEgwOlP67lwn/Wm/MFxUU3eVvUYdC3z+HbMRxTjQGhVnF+2TZSFjeME92WPI6XEieOPCzHCQCPTuF0ffsBHNw1SJKJ3fHzZFqOanp9Nx3/QV0ByPh9P3ue/LQB3auJbwCOnhr6vfMgXh1CQZLY99wXFB1OJvrFyYRO6I+LnydSrZEzn/7BqXdXNeDXR/FPNaWV7FP8U4vBXYieOwmVowMmQy1J83+icPcp1K5O9F/6FG4RLZGMJpK3HMHB1ekf2xlA9NSRRN87EpPRRPrWo+xZtByPUH/u2vYWpSm5uLsbqE35m+rvPsCha29c7nwCVCoMO9ZT88fyBrwAHHoNwu3JV6h8+TGM6WfNz4VvCzxe/5rq1d+h3/Bro3kBJr48lc5De6DX1fDD85+SdTLN6r2jixMPfPIs/q1kORz/6zBr3/wZgGEP3Ej/ScMw1RqpLCnnx5mfARfMedWto3GKvxuEitqj2zHssdZdh+hBOA2fjKmiFIDaQ5upPbpdLr+nH85jH0R4+oIE1cvfRrpQ1KD8/kO70XHBvaBWkbVsK2k2+iucHIhe8gSeik9PevhDdOcLEQ5qurz3MJ7RkQi1mrLD5/Dp3Q7UKs7+vINTjdjZ1eorgFAJbkn6GAdXZyrS89n77FJKj6fTbdZttBrbB8lk4uz3f1F44Cz9P5D1JnvrUQ69WO+TBn02DbfQAKqyCtn1iOyTAHq9djchij7ufXYpJcfTAdCE+NHvnQcB/kbe3jgGSAeWAb0AA3AAeET5vx3/Zfz/vqx0AtCp7g9Jkl76NzqGocO64RkZyK+x00mY9RUDXp/aaLqBr99Hwswv+TV2Op6RgYQOjQbg+Gd/8NvIORx68xcMuhqyth9j76yv6HsROv1ev4+9M79ktUInWKHT5Ylx5CWcYnXs8+QlnKLLE+MAOPnZH6wbNZd1o+Zy5I1fyN/3N4ZyLd1mTmTXo0v4pe0D1BSV0+Gh0Xi2DTbziZoch76sirUDp3P6iz/pMW8SAJ5tg2k1vh/rhs5i65S36P36VIRKYKox8Ndti1g/ci4b4ucRPLYvfy9azrbBzxN88wDc24VY1SNsylAMZVVs7f8sqZ+vp+O8KeZ3VRn57Bwxm50jZnN81lcAGKuqzc92jpiNNqsQbV4pnpGBrIqdzt5ZX9H/EjLbM/NLVikyC1FkVnY6i20PfUj+vjNW6Y3VBo68tYLDr/2EW6g/npGBrFZ4NHW7HHrzFyqzisjdc4pdz39x1fqTs/M4q4a/wG8j51Cemku3aTL9lN/2sDp+Lqvj53L2x60YdXp+7fM0ey4hp/6v38fumV+y0kZOOTuPs3rYC6xReEQrPKpLKtgy9V1qy7KorShA7d6iUbqWmDBmJJ+9t+Cy6WwRs2gqO+98iz+HzKTVhP542uhT68lx6C9UsX7AdM4s3UC3eZMBuS1PvPUrSfN/skpfW1XNppFzzL+y7CJO/XnQ/L5dXHf8IgN5P+45Vs/5kpsW3k9jOP1XIp+Ob/ywnOPr9vHxmDl8PGYOib/uIPr1+9g75S22Dp5ByM0D8LCpQ/gU2eb+6v8cKZ9voLNSB5BtYvuIOWwfMadBxzBoTG+MVTadcpWKkPmPkjb1Fc6OfALvmwbj3CbMKok+p5Dzz39A2ZodVs89hvbCtXMUZ8c8xbkJ0wl46BZU7o0fTNJqaDe8IwP5YdB0ts76irhFUxtNN3TRfWyd+SU/DJqOd2QgreJk3frz8SUsHz2X5aPnkrLhICl/HiRm0VS23/kW6+Nm0mp8fzzbNtLWZVWsGzidM19Yt/Wxt3/lqE1bAyQ8spg/R85h/dBZuPh50HvW7XhFBrI8djo7Z31F7EVsYtDr97Fz5pcsj52OV2QgYYpNgDyoEzq4KxXKR1rYsG5oWvqw9tYFpKzYRfiNvRulebW+AqDgwBmzH6/rGAK0mPsoVQmHwVBL+vjHSL/5STxujMMpKtyKZ/XfKWRMfIr08Y9TuTGBgOdlfa4tLCFz0nNk3DyNjDuewe/h21G38JUzqVTN0hYAoTf0oraqBpeWPhyY8iY7Bl06Tmzv9yxpn6+nw4tynBBqFd0/foLjM75i55AZ7Lv5NUyGWgDaPHsz3jFt2R47nT+j7sOnSyur2AZXH98Aes2/m5ztx1g3eCbrR8zhwjl5sCZ/10kkfS0bB88g+bstRE0d0cC2IxX/tGHAdM4t3UC0Iid9SQUJ97zDpmEvcOCpz+i7+DFznjOfrmfjoBlsHjmHiBE9CIxp+4/tLKR/R1qPiuGn+Dn8NOIFjnxePwBwISOf5aPnUvnSI1R/9wEIFS73PEXVu7OpnH0/jv2GoQpu1ZCZiyvOo26hNvlUg1euUx6j9tiBRstYh05x3QmIDOTVuKf5ec4XTFr4QKPp/vpiHQuGP8cbN86idUx7OsV1B+D8qXTeGjeb12+YyZEN+5kw+876TELgdMO9VP/8FrrPZqLu3A/hH9yAdu2pfVR/OZfqL+eaO4YAzuMfRb/3D3SfzUL39UtIVeUNC6YSdHrjfg5NeYOEQdMJunkgbjbtHjplKIaySnb1e4b0z/+gnaK/gTf1Q+XsyO64mewZPYfgiYM4MX0pCYOmEzG+X5PoK0DvN+/HZDCSv/sU+2d+RZ/Xp9L6jsG4BfuydvBMfh8yi/TV++jzxn3sn/ElawZOx8PCJ3WeJvuktYpP6qzE/uBh3fCIDGTNwOlmunUY+OGjnPr0D4COQB+gQHm1DOgAdEU+s+vBhkL9L8MkNe/vOsV12zkUQrgJIf4QQiQJIU4IIe4QQsQIIXYIIQ4LITYKIYKUtA8JIQ4qaVcKITRCiAHATcDbQoijQogoIcS3QoiJSp50IcSrQohEIcRxIUQH5XmAEGKzEOKkEOJLIUSGEOKqjtRqNSqG5BXyqHphYgpOnm64tvC2SuPawhtHd1cKE1MASF6RQKv4XgAYKnVmOiWnMkGSKEpMwcnrInQ8XClS6KSsSCB8tEwnLD6GlF93yc9/3UWY8twSkeP7k756L349oihPySVn8xFMBiPpv+2htlqPJsjXnDY0viepCr3MdQdoGdvZzCdjzT5M+lqqzhdSkZ6PX48oAGq1NQD492qLSW+gOrcEyWAkZ/VeAuOtyxMYH0PWLzsByF23n4DYLlckbwC31oE4+3vhEdGSFEvZX0RmTh71sreU2YXkHMpTGp7QVquroeDgWYw1BtzDA8w8mqNdWo2KwVhjIHXN3n+kP9k7TyAZ5aUQBYkpVm1Yh3Z3DiV75/HLysnRw4aHUtaci/AoOZmBLr9MJmA0gLj8KW69unfFy9PjsuksIRzkUc+qzEJMBiOZa/YREh9jlSZ4dAzpij5lrTtAy0Gyvhp1NRQdOIux+uIDlO6tA3H38yT9wGnzs46jYji6Sm63rCPJuHhocA/wbpA360gylYVll61DaPc2VKXlo80sQDIYyV69l0CbOgTF9+L8LzLPnHX78b8Cm1BrnIl6ZAxnLToMAJrubdFn5KI/n49kqKXs9514juprlcaQVUD16XQkm9MWXdqGUXXgJBhNSLoaqk+n4THEuqx1aD0qhr9XyvaRfyQFZ083NDa6pWnhjZO7K/lHZN36e2UCreMb+qc2Y/tSci6HSpu2DrWRU2h8DGm/ym19ft0BAmNt2rqmYVvXKn5WOKhROTkQEB3JWcWuCxIvXm5Hd1cKFJs4uyKBCItyD3jlLvYtXA6K/CJGxXD65+0UJqVSdb4IB2enJvfhllC5a3Dt1YWac+kYMnMwpGVjKr1AxfoduA/vZ5VWt/8YUrXsn3VJp3EMVMKcoRbJIMtLODla2bBLdLtmaQsHjTMdHhlD9uZETHoDuowCc5xoaVPnlqPr40Te7/U24R8XTcWpTCpOZcrVKK00f3y1umcE5cfSZLr6WtJX7iasQbmvLr45erjSol97Un7aDoDJYMRQLs+gGCq0ZjkVHzqHLq/0sv6pheKfyk5kUK340PIzWahdnFA5OWDU6SncI3e6JIMRSZIoUlYu/BM763r3CA5/8jsmvdyB1hU30tlRoG7dAVN+NlJhLhhrMezfhmPPAQ3SudxynzyjaNBbPXfoORBTYS7G7PSL8gCIHtWbA6tkmaQfOYerhxueNj7WUK3n3N6TABgNRs6fTMM7UI4/5/aexFCtN+f3DvQz51MFR2EqyUcqKwSTEePJfTi0a9yH2UL4B4NKhSnthFKIGqjVN0jn3bMN2rQ8s/7mrd7TiP72Ikdp9/zf9+On6BmShFrjjFCr8OnTHpOhlsrT55EMRjLW7LtmfQVwDfIlZFg3UpbLg3/FSuxvd/8ojr2/2uy3VGqVlU9KW5Fg9j1h8TGkKjEp9ZddVs/TGvku8mobjHBQkbfzRF3RKwGt8v/1yDOJEvLMYegVNIcd/wKu284hMBrIkSSpmyRJXYA/gcXAREmSYoCvgYVK2lWSJPWWJKkb8rT1A5Ik7QHWAjMkSeouSVJKIzyKJEnqCXwKPK88exnYKklSZ2AFEN5IvktCE+hDVU6x+W9tbglugT5WadwCfajKLTH/XZVbgsYiTczM22gzMZaA7q1JfGelmY7Gho4m0AetBR3LNK7+nugKygDQFZTh6m99VLvaxYnguGgy1h/ENdAHbU49HWONAbdgX7NzqK+XnEYymjCUa3H2dcc1qP55XRlclTIIleCGzQsZ+uMMtJmFlClBqjq3GJcg67q4BPmiU+QmGU0YKrQ4+cqdBk14AIM3v86A317Ct297bBE8YQA5a/c2kL2tXM31uITsLwdHjQtam/ZtynZxC/bDp0MoaesPmvNerf7Uod0dg8nadqzBc8/WQWSsr58Vu5icLlYHS7Sd1DgP4eSGVFvT4HmTQOWALtu6DVwbK7+Nvjr5ul8R+fDx/Tm+bq/VM4+WPlyw0PPyvBI8r0JvADrf0JtpG95g0idPE9ghzKzvALrcElxsOvIuQT5WNlFrYxNDNi9i4G8vWtlEx1m3kfLZH9TqrGXv2NIPQ079MihDbjGOLf24Euj+TsdjSE+EizNqH0/c+kfjGNT4mJlboA+VFvWqzC3B3UZO7oE+VNror62OB/dtj7boAkhSA3tztfEdrjZtrb/Cto77aRa3HPsUQ2U1Rr3hH/mOunK3GtWTqrxSSv7OtJKFJU19hbbJfEVATBvGbl7I8B9m4KXMTjiGBmIsuYD/s1Nx7tyWlq89jXB1pjavCIdLtLXXxFFU7jxk/tsh0J+INZ8Qte17Sr78FWOBXD6Hlv7N0hZdZ97G6c/W4+SpwVRrND+vzinGJbBhnKjOto4Tjr4euEUFIUkSfZa/QOzmRbRWZlkdPDWgUuEU4EXs5kX0/OJpDJW6BuW+2vjmHh5AdXEF/d5/mBs2LaDvOw+idnVWZOCLVilj5KQhlBxObuCfXAN90F3GP4Xc2IfS4+nmDlwdHD01eIW3IHOX+YP7qu3Mu3UgwX3ac9vaV7jl17m06NbanM4zLIBJGxbgNvs91O26Inz8kUoKze9NJYUIH2v7V7Vqi8o3gNqk/VbPcXbB+cZJVK/+nsvBu6UPpRb6VZZXbO74NQZXTw1dh8dwZveJBu/63z6UU9uPmv8WHj5I5fWykCpKEB4N/be6Qx9cH1qE861PyUtIAZVvEFK1FueJT+Py4AIch09udODTOdDXyqdX55TgbFN+5yBfc+ySfboOR18P8n7fj1Fbw9Bjn9Hzu+cpP56GoawKaNzO/sn3WK9X76Iys4DqwvqlttqcEjzCA4i4qS83bJjP0B9n4B8TZeWTqnLqabjY+CQXxSe52n57KXk8ooLQX9Ay+MunAY4AbwO2l3M4Ancjf+dfX7DPHF53OA6MFEK8KYQYBIQBXYDNQoijwDzqRxm6CCF2CSGOA3cCna+QR90mgMNAhPL/WGA5gCRJfwKlF8sshHhYCHFICHFoR9W5K67YleDwW7+Sk3CS7J0n6HjfyCahaXv1UtioHhQcOotecUB1cNA40+6BeAr2nzGPrv9jniaJDSPncmDW1zj7e+LR4eoHhmryy9gS8yQ7R87m5Ms/0POTJ3GwWdIWMqE/2b/tuQiF6xu27eIa4Enp6fMN2uVq0e3JmzAZTaSs2m31PKBHFJLRREVm4UVyXjmin7oJqdZEqg0P1I6o3XwxVjbck/F/AeET+nNs7d7LJ7wKnN6SyDuxT7PkhhdISThOv3vj/zGtmvwyNsU8xY6Rczjx8o/0+mQaDu6ueHZuhSaiJbkbDl2eyFWgctcRKrYdps2qtwj/6Hm0iaehmTfqtxvfn3NrmrYNbLF9ypv81uMJ1E4OuPhc3ey1JRxcnOjx5E0cemfF5RNfA+p8RcnxdFb2eYZ1I+dy+ptNDP36WaUgalw6tUGbkEjllj1Iump8H7r9kjQ9xw3FpXM7Sr9aaX5Wm1dE+vjHSY1/AM8JI1D7eTdTjcC7cyvcI1qQ9ee16axKrcK3b3uOPP4xe256hcAxvfAb1BnhoMbZzwN94QUSRs6h9NA5Iib0v+ZyC7Ua364RnPv+LzaMmkettsa8xK4OHZ4ej2Q0UnTo6r8PPNuFED1vEodnfmXDV0XfT6dRnlVIVd0qjX8AlYMKZ293fr3pFXYv/JnRn0wDoKqgjG/7PsPyG+ah+/lTNI/OASenSxMTAtfJj6Jb3nDPuMvN96LfuAJqmvZSV5VaxdSPnmL7t39SfL7A6l3vCbGER0fx19K1F8ndOGrPHUG35Bl0X8zBmHYC55seUZipUIe1R7/lJ6q/egmVdwAO3QY3VVUA8FLi8rZuj3Hqha/x6BCGa6vLb8u4UoSM6E51UTmG8obfdConB4w1Bjbc8BLJy7bR9dmbr5ju5a70VKlVtOjbnkR5OXlvoDUw1SbZJ8BOYNcVM7ajWXHdHkgjSdJZIURP5I2rC4CtwElJkhrz6t8CEyRJShJCTAXirpBN3dC6kX8gC0mSlgJLAfbM/VZqP2UoAEVJqbgF14/SaoJ8qcqz7mNW5ZXiZjFL4BbkizavlI73jsCSTumZLDreNYwT76xCo6SxhDav1GrZoGUaXVE5ri285RHnFt5U2ywbibhJXlIKoMsrRRPsi3BQM+jLpyk/m03hAet9d9q8UtyCfdHlliDUKhw9NdSUVKLLlZ9blkFnU86K1DxqtTUEDO1GxeksXIL8qM61TlOdW4JrsB/VdfQ9NOhLKgAw6SsBuHAsjaqMfNyigriQlApAh9l3oGnVkm7vPUx+UpqV7N0uIrPGZH8pdLh3BO3uHIqTtxu1ldVobNr3Wtul/b0jaHun3O6Onhoytxyxynul+lOHtrcNInxED9bf8br5WZ1uaQJ9uJCSe0VyulgdANrcPoiwET348/bXrfJpgnxx8GyJsaIATNYj3k0GUy2uIdZtYKtzWkWnLfVVX1J5WdLencJRqVXknEij790j6TVZbpfspFS8LPTcM9CX8svojSV0ZfW8Dy3fxui5d3Ehpz6/a5Av1RajtQDVuaVWNuFwCZtwjwrEu3sUPt1aM/Lghwi1Cmd/L1ovX0TqpDkY8otxDK4f7XcM8sOQX8yVouDjXyj4+BcAwj58nprUbPO7rveOoLMip4KkVNwtdMs9yJdKGzlV5pXibqO/ljou1CqiRvdm+ZgX8Qj2bWBvOhvfobNpa6crbOu2U0cSdedQnLzcqNFW/yPfUZVXimdECzzDApi4aRGO7i44e7tz1+ElpK7bb0XTyUPTJD7cYDFol701ib6LpuLs405tXhG1+UVoDx7Dv280xZ/+jO9DtyNV11DbSFtr+nfH99FJnL97pnkpqSWMBSXoz2Xg2qsLlRsTqM0vavK28I9pg290a8bt/wAHF2f5kJdVL7LvltdwCfajOq9hnHAJsY4ThpIKdLkllOw9jUGxj4ItR/HqGknxrpPUVtcgGeWv2Nzf9xH55E1kbznaoB2uJr5pc0vQ5pZQrKyGyVx3wNw51OWV4NezDV7tQ9lx+yLaPji6gX/S5ZXiehH/5Brky4Cvn+XAU59RlVHf8YmaOpLOMyeCyUTyxsPXZGeVuaWkbJBXj+QfTQVJwsXXg+qSCqoV32JKP4epIAehUiN8A8x0VL4BSKUWA38uGlShkbi/8B4AwssXzTOvof3gRdStO+LYazAutz+M0LgjSSYw6NFvWQPA4LtHMWDycAAyklLwsaiTd6AfZXnWPrEOk19/mMK0PLZ/vd7qefuBXYmfdgsf3PEKtfpa5EkpkCpKzTOBAMLDF6nCxn/r6vW09sg2nIZNUvKWYMrPkJekAsazh1GFtAGs92bX5MnfMGaxBPtSY1P+mtwSXEP8qDH7dFcMJRUEzZhI0dYkpFojVWezMWpr8OrWGl1GQaN2djX66t+zDZETY3H2dsNYYyCgTzv5QJvFj6EJlv1N5np5cOb8hkP0/+Bh1C71AwJuwfXxtdrGJ9UoPkmXV4pbsB+FNnlUDipKT2ZQKQ9G1wKrgX5A3ajHy0AA8mE01x+k/83TSq/bmUMhRDCglSTpR+Rp6L5AgBCiv/LeUQhRN0PoAeQKIRyRZw7rUKG8uxrsBm5XeIwCrmjd2N/fbTEf9pHx52HaTIwFIKBnFIYKrXkavg66gjIMlToCesprwdtMjCVj02H+/m4LWx/9yEyn4z3DKUvJxb9nFIbyi9Cp0OGv0ImaGMv5jYcByNqUSNRtg+Tntw0yPwdw9HClZb8OnN+YCEDx0VQ8IgOJ/fQJylNy0QT5kLUp0YpX9qZEWiv0wsf2IT/hlJlPq/H9UDk54BYWgEdkIMVHUnD29cDRUwNA2enzuAb5YrhQhXBUEzyhP3mbDlvRz990mNDb5dG4oLF9Kdot7ytw8vMAZUO1JrwFbpGBaDPy6zOqBMlL1rJzxGwyNx4mykL2+ovITF9RL/uoibFkbrQuiy1Of7eFtaPmkvTOSioyC8w8mqpdzny3hXWj5rLx1gW4+LjjpZzWeLX6AxASF03Xx8ay+b73MFbX74v4+7strB49D5OhltM//GWloxeTk6HCmkednOp4bJlqzcPJU8PI76djrCppviWlgFRbg0dkIG5hAagc1YSP70e2TRvmbEwkQtGn0LF9yE84eUW0wyf0J0MZNNn/w2bzATKnNh2i+y1yu4X2aENNhe6K9hbWwXJ/YoeRMRScPY9b60A04QEIRzUhjdhE3qbDhN0u8wy+jE1UZRSQ/t0WNnZ/gs29n2bX+FepTM0lddIcALRJ53CKCMYxtCXC0QHvcYMp33zpAyLMUKlQe8uu1KVDBK4dIqjYVT+Acfy7LeZDZFI3HqbjrbJutewRhb5Ci9ZGt7QFZegrdbRU9sJ0vDWWVIu6hw3qQmlKDlV5JeQnpTZo6ywbOWVvSiTyNrmtw66grR00zri08Obct5vZOHoeRYnJ5O47TTvFJlr0vHi5DZU6Wig20W5iLOmbDlNyOovvuz/BT/2f5buuj1GZVcSPMdNIXr3XTFMT5IOxxtAkPtwlwMuc3697a4RKUFNaibGoFENuIcaKKhxbBeM+aiD6tPN4jBlC5dZ9VnydO0bR8tWnyH78VYwl9cvMHFr6I5zlD0OVpzuuMZ3Qp2UBUH38bJO3RfL3f7Gm5zR+7/sMm296GanWRNIzn5njRL6NXedvrI8TgeP6UqTQL9x2DI+OYahcnRBqFX4DOlJ5Vh7AKNh4GI9OYbiGBxAQF43ayeGa41t14QV5SV6U7KsDB3XmwjmZn6O3Gx5RQSTO/RZTrZGw8f3IuYx/KlDq4eipIfaH5zm+aDnFB89a5XFp6U3hnlOs7fr4NdtZ6sZDhA6Qz+vzjgxE5ehAdUkFLr4e5gNMREAQqsBQapP2oW4ZgvAPBLUDjn2HYjhisVJHV0XFtFuoeP5OKp6/E2PKKbQfvIgx/SxVi54xP6/ZtJKadT+ZO4YAO3/YxBtjZvHGmFkc23SQPrfIMono0RZdhZbyRnzs2Ol34OqhYeV86xNvQztHMGnRg3z+4FtU2gyGm3JSUfkGIrwDQKVG3bkftWetdUC4e5v/r24Xg6kox5wXFw1oZB+oiuiMqTAbW1w4koKmdSCuik8PnDCAApt2L9h4mGCl3VuO60ux0u7V2cX4KvsGK89k4eTniaFSh3BU02p8v2vS16MLl7Oq2xP83GoqCY99THlKHvkJpzjzzSb05VrO/3GQwIEd5TL170hFSp6VT4q08UmtlZjU+vZBVs8jLb6L6r4pio+m4uSpwdnX/Ck+DKg7sehBIB6YDPxv9sKuUwjbgweuFwgh4pE7hSbko20fQx51+AjwQp7p+0CSpC+EEI8BM4FCYD/gIUnSVCHEQOAL5BnCicCLwDpJklYIIdKBXpIkFQkhegHvSJIUJ4RoAfwMtAT2AmOBCEmSLvml+1XoXVaC7L/gXkLjoqmt1rPruaUUKVciTNi4kNXxcwHwj45k8HvyCE3W9iT2zpPX5A9b+hTereX9E47uriCgtqKaPc8tNV+tMHbTQtaNkun4RUcy4P2H5SOHtyVxQKHj7OPO4M+exC3Ej6qsInY8uti8VDHq9kEEx0Wz6/GPAVBL0PGxMfR8cQpGvYGa0kqqi8opP5tN+pp9ZG9KROXsKB+d3CWCmrJKdj+2pG40iM5P3UTUpCFIRhOHX/qBnG3H8O4YRv8PH0GoVAiVkK+y6NFGPqL85+2c+3A17WdOpOxoGvmbDqNydqTHksfx6hKBvqySxEcWo80sIOjGPrSfeZt88pxJ4szbK8jfXO8oh+3/gAN3vkVlcg7FajV9F95LSFw0Rp2eBAuZ3bRpIWstZBb7viz77G1J7FdkFj66F30X3IOLrwf6ci0lJzPYfOdbAEzc9z6O7q6onORJZn1ZFfpybZO3S1BcNNWllf9Yf25LeBeVkwM1pfIoaEFiMntmfwNAYP+O9J59B3+Me4V+FnLadQk5DbKQ0z6Fx60J76J2dqBa4VGYmMzeF76h29Pj6TptHA5O9fsxai/kXnL0bcbLb3DwyDHKysrx8/Xm8Qfu5tZxl19yuffpFfVXWSzfwd8frqHLjFspSUojR9HXfosfw7tLK/RlVex9dDFVir6OPfABDkpbGi5o2TH5DcqVD8kb973PzrveYs/5nAY8x86fSrsh3dDralg143Nyjssye2L9Ij4eI3fC4l+YTPT4AXi09KEiv5TD/9nO1g9WMnLmHXQYEYPJaERXVsnaed/QN7AFXZU6ZP68nbMfrqHDzImUHU0lT6lDzyWP49WlFYayKg6ZbaI3HWbehmSoRTJJnH57pZVNALiG+dPvhxlWV1l4xMUQrFxlUfrLFgo+/oWWz96J7vg5yrccwDW6La0+n4ODlzumGj21hWWcHfUEwtmRtus+AMBYqSV77idUn5LrvsPohS2GLLiXVnHRGHR6/pq+lAJFtyb9uZDlo2XdahEdyYj3ZPvI2JbEjhfr9ySNeO9h8hKTOfHjVgC6Domm56v1bX3qozV0Vdq6zjf1/+gxfJS23v1YfVuP2/+B2W4NF7Rsm/wG+tIKBn//PGonR1AJCvacYvuryxj46t1mu9tuYXe3blzISgu7G6rY3fntSeye13Av1ZS977NqzItUl1Yy5N2HaHdrLAiBUVeDvkLH2rhZxK+a9499RfupI2l/z3BMRiPGagOHXl1G4aFz9PUoxrlDawIXPI3a2xO1jxe1pRe48OtGSj5fjt+Td1N94ixV2/YT+vUinNtFUFsoz2zU5haS/firaAb0oMWsh5AkCSEEpct+58IvG8x1y+01tEnbovxc/Ue2W6g/I1bOw6SvRahVZP28neQPVtNu5kTKktIo2CjHie5LHsezawQGJU7olNm1kFtjiXpqPCBRsOUop1+TT0Z1DfWn148zcGsdBCaJ099s4uiC5UTPuJVii3JfTXwD8OkcTt93HkTl6EBlZgH7nl2K/oKW8bvfwcFDg6OHHL/LTmaydcxLdFbklKvw67O4Xk77FP/U8ZkJdHhyHJWp9QOgOye9gcrJgbGJiyk/l42pphaDgJoLVXiE+P0jO1M5qhn+zsMEdA7HqDeye8FPZO05RdQNvek7/VZMtUZ83fRU//YdtUf34hDdp/4qi50bqPn9J5xvnoox/Qy1R6yXf7u98C7Vyz+3usoCwHnCPUg1OvNVFnN3NNy3fPv8++k4pBsGnZ4fZ3xK5nF5hdAL69/kjTGz8A70ZcG+T8lLzqZWL8927/huI3v/s5VpP84juH2YuUNZml1E6/0fmGmro7rhNOouUKmoPboDw+61OA65FVNOGsZziTgOvR2Hdj2RTEbQVVGz4RukYvmAOlVkF5xHTJHtODcN/R9fgUneH7trcf0KGf/h3en42r2K/m4j9YPVtJl5GxeSUilU9Dd6yRN4KPqb9MhH6DIKUGuc6frhY7i1C5Ht7tBZfPt1RKhVnF2+g5Mfrb1mfa3D4K+eIWhIVyozCtj77FIq0vMZuORxWsZ2ovREBvtf+AaVg5oBygxizrYkDs6V9cbJx51BdT4pu0i+ykL5fum96F6C46Kp1enlqywUfQwc3IWYl6bg0yn8BPI2rocBPfI3fQbyRA7IW73mN1CK/yIqn7upWTtJ7u+tvfypff8FXLedw/8WhBDOgFGSpFpllvJTSZK6Xy6fbeewqeHYzM2k/hfUwNNkvHyia0Sx2nafc9Pi35hqN/wLrkLVzO19V1Lz+/dVXRu/LqKpcNy5+Y2id9Nuw2kUkS4Vl090DWisc9jU8Dc2f1uUq5rX8Fz/BR/b1+PKlwn/UySWX/yAkKaAp7H5JxDKmjlOOP0L31V5Ds0fKO4Z1vDk7qZEY53DpsabDzo2Ow/LzmFzoFjd/DvA/o2ewF05P16XHaFL4X+1c3jd7jn8LyIc+EUIoUIe2Xjov1weO+ywww477LDDDjvssONfhHQdnyjanLB3Dm0gSdI5oMd/uxx22GGHHXbYYYcddthhhx3/JuydQzvssMMOO+ywww477LDDDkv8j84c2vccNhFeirizWQXZqrZ5lyVr/gUDcP4XeFxQN++uQKd/wVz+jf0qNY1c4NuUcPwX6nDL8deancfOzrOblX6qY/Pvh2nufbJ+tc2/R6xK1fy7fR2aWWcNzWxz/xbUzbw7yUjzyymrmc2uXU3z20RzxzoAr2be/9m8Oz9lpDs1v5yae3u6e/Mf1/Cv4P/insOKp8Y2a+t6fLTuupSJfebQDjvssKMRNHfH0A477LDDDjvsuI5h+t+8YcPeObTDDjvssMMOO+ywww477LDE/+iy0n/jZH477LDDDjvssMMOO+ywww47rnP8T84cCiGeAZZKkqRtLh5jXr6HtkPli1x/e/5zck+mN0gz/Pnb6H7LIFy83FjY+QHz8+4TBxM/ezLl+aUA7P9uE8XLdtBv/t2EDetOra6Gnc8upfhEQ5p+XSMY/P4jOLg4cX7rUfa99AMAvedNJnxED0yGWsozCtj13FL05VrChncnbvHjqF0cqSmtZO/jH1Ow928zPZWTA/0+egzfrhHUlFay59HFVGUVAdBp2k20njwEyWTi8LzvydtxHIB2D8QTdedQhBCkLNvGmS//BGDQby/i27MNAEZdDdqsIraOmGPFq9fix/COjkRfWsmBRz5Ce74Inx5R9HhbkY8QnH5nJTkbDgHQ5uEbiLhzKJIkUf73ebZN/wJjjcFMs+/8uwlVZJZwCZkNev8R+TL5rUfZr8is17zJhI3sgdrRARc/T6qLy0leto1TS363yq9ycpAvo+0aSU1pBQmPLjHLqPO0cURNjkMymTg073tydxzHIyqI2M+mmfN7hLcg6e0VnPlyIwAth0bT56PHcPH35NT7qzj51soG/Pp89Bg+0XKb7HtkMdqsIloM7kL03EmoHB0wGWpJmv8ThbtPARA2oT8dnxqPSwtv1K5OVGYVsufJzyg53lAevl0j6P+BrEPZW49y6EVZHk7ebgz6bBpuoQFUZRXKl99e0OLZJoj+7z2Mb9cIjr75K39/tp7AodH0mH83Tj7uYDRRU1pJ6rJtnP3iT3Md+ip10JdWskepg5OPOwO+eBrf7q1J/89OEud+B4CDmwvDVr9kLqMm2BeVqwlT1ZXd6zZv0Xvs3H0AXx9vVv/42RXlAfAd2o12C6Yi1Cpylm0lY/Eaq/fCyYHOS57AI7o1htIKTjz8IdXnCxGOajq8/TCe3VsjmSTOzvuWsj2nULu5ELP2VXP+gcF+VOaW4OjmQq2uhh0X0VH/rhEMUXT0/Naj7FV0NOb5ibSK7wkmCV1ROTue+xxtfhnRj95Im5sHyLJWq/BuF0pFViG1VdVN5juibh5A10dvxEGScHB3RdOqBbqcEtK+2cS5Rmykp4VtH1Jsuw6uIX4M3/k2p99ZSfKnf6BydmToX6+jCQtACEH+/tNsveONBjSbyu56vDiZVuP74eLniVRr5PSnf3Dy3VUN+DWmsy0bsbsCxe76ffoEYTf2RagFR9/4lZMX8R1+Sh122dShjVKHg0odAPq99xChI7pTXVTOumHy0uder91N64mxqF2cqMououxMNnufXYqhvD7EXa1dm/WiW2vif3+ZhMeWkPnHQYLioun52t2oHBxw8nEnfWUChxU7ratTYzHDyced2KWybaf9stMqT/Ss22j3QDwOGmfKTmfJF2g3k2+qg7OnhhvefJCAdqFo/D0x6PRUl1Xyx/NLyW/EPgbPuI0ut8Ti4uXGe50eND8P69Oe4S/fTYsOYax5cgln1h8EZD8e/do9CLWK9GXbONtI219tvIt6cDQRd8mx9e+ftuER3uKa45tJX0tFRgEJil0HD+pCzJw7UDs64ODsiNrZEZPe0GR1sIzZFX+fJ+u3PXR5aQqoVWQu23ZR3+EVHYmhtJKDj3yEzsZ3DFN8R8qnfwDQ+sHRtLprKAjBkeXb8ApvQcRQWU6bpi+lsBE5tegawch3Zd1K33aUHS/Lcrrh42n4tA4y60xNuZafbpgLgH+HMIa9fj/O7q64Bnihr9BSq61h23NLKbqIHx/6nswjc+tRdis86hD98A0MePFOvo1+lIBurRny5gO4BfqgK7xAdVE559cf5Pj7q81y+Se+I/yGXqhdnNDmlJD883ZOLvmd8LF9iJ5+C15tg9k4fj4dHhp9VXSD4qLp/drdCJXKTNMSvV67m6hJQ2zFcTvwCvIVi0nAlAYCux5gnzn8n8IzgKaxF0KIa94j3TauG36RgXwYN521c75i3ML7Gk135q8jfD7+pUbfnVi3j0/HzOHTMXNI/M92Qod1wzMykF9jp5Mw6ysGvD610XwDX7+PhJlf8mvsdDwjAwkdGg1Azs7jrBr+Ar+NnEN5ai7dpo1DqASD33uY7J0nWNH2AfRlVcQsmgoWBye0nhyHvqyKdQOnc+aLDXSbNxkAz7YhhI/vx/qhs9g+5S16vX4fQiXwah9K1J1D2XTjS2wYMZvgkT1wj2iJUAlcg3zZPGgGa9vcj1Rromj/aauyR0yReW3q/xzJn2+gi8Kr/PR5tsXPY+uIOeyZ/Cbd334AoVbhEuhD1IPxbI2fy19xsxBqFZHj+5np1clsZex09sz6iv4XkVn/1+9j98wvWanILMRCZmtGzEaSJFJ+203G+gNEjO+HZ9tgq/xRiozWDpzO6S/+pMe8SYqMgmk1vh/rhs5i65S36P36VIRKUJGSy4aRc9kwci5/xs+jVldDlhI4hUoQ89b9VCTnUJVVRMiY3ni0C7HiFzk5Dv2FKjYMmM65pRuIVuSkL6kg4Z532DTsBQ489Rl9Fz8m01Sr6P7a3Zz6cDUlSakkf7OZokPn6HMRefR54z72z/iSNQOn4xEZSLAij87TxpGXcIq1sc+Tl3CKztPGAVBTWsWhF3/glPLhJVSCmEVTOfLiD9QUXqC6uJy9jy4maISsC2a9ulDF+gHTObO0Xq+M1QZOvPUrSfN/sipTbVU1m0bOMf+qsoqQaqoaLX9jmDBmJJ+9t+CK0wOgErR/436OTnmdfYOeo+XNA3GzaYvgKcMwlFWxt9/TnP98PW1elONbyF3DAdgfN4Mjty+g7St3gxAYq6o5MHyW+VdzoQpTjYFfFLuOvYRd75r5Jb/ETsfLwq6PffYHq0bOYVX8XDL/OkLPZ26ufx4/l1Xxc0lbf5CaC5X8OuC5JvMdACm/7WF1/Fy2jZqLytEBXXYxm/s9Q+jNAxrobKspcRjKqtjS/zlSPt9AJ6W969Dl1bvI35pk/ttkqEXl6MBfg2awrv2DBMS0JdzCtqFp7S531wkkfS0bBs/g3HdbaDN1BJ42dbiYztaUVLDrnnfYaGt3KkFA3w78Nf5VanV6Isb3w8vGd7RR6rBm4HT+tqiDV9tgIsb34/ehs/hrylv0UeoAkPqfnWy9820zjeBh3fCIDGTXo4vZfNsi9GVVVKTm0uXJcVa8rtau6+rQY+4d5o/AOtvefudbZP91BCQJJy+3hnJqJGYYqw0ce/tXjtrYNkBNaSXFR1Op1enZP/OrZvNNlhjx8t2k7jjGXwuWkZuUylejXuDP2V8Rv6Bx3slbEvlu/MsNnpfnFPPH9M85tWZP/UOVoNvr97F7yltsHjyjUZu42njn2SGUiLuGsv2GF/lr2Au0uW0Qvp3Crym+rR72AmsUu45WZFZdUsGWqe+yZtQc1M6OqBzVTVaHxmJ2j/ceYu+Ut9g6eAYhjfAIV3j8pfiOzpfxHR4dQml111B23vAi24e9QMeJg/DvGM53g6fz1wtfMWxh43IauvA+/pr1Jd8Nno53RCCt4mQ5bXhiCT/dMJefbphL8oaDJP8pd/6FWkX8h4+xdc437Fv4M8WnMlg++Hl2zPqKQYsa5zF40X3smPklPw+S/XiYwgPALciXsMFdqcgqQqgEsQvuZd/C5WRuO0ZNUTm7H//Y3DGEf+g7ft2FoaqGqqxCfo+bafZJZaez2PnghxTsO0NofMxV0RUqQZ9F97L1zresaNbBNzqygY8A2gKzgYFAZ+RvcjuuI1y3nUMhxD1CiGNCiCQhxA9CiAghxFbl2V9CiHAl3bdCiIkW+SqVf+OEENuFECuEEKeFEMuEjKeAYGCbEGJbXR4hxLtCiCRgrhBitQW9kUKI366m7B1GxXB01S4Aso4k4+KhwT3Au0G6rCPJVBaWXRHNVqNiSF6RAEBhYgpOnm64trCm6drCG0d3VwoTUwBIXpFAq/heAGTvPIGknDxWkJiCJsiXgO5R1Fbrydx8GJPBSMbK3aidHPDtFmmmGRofQ9qvOwE4v+4AgbGdzc8z1+zDpK+l6nwhlen5+PaIwrNtMMVHUjDq9EhGEwV7/yZsTG98e0RRlZaPNrMAyWBEOKox6a2P4AqK70XmL7LcstftJyC2C4CZFoDKxRHLw/KEWo3axQmhVqF2dUKbV2p+Fx5vIzOvi8jMw0Zmo2WZ5ew8gV90JBXp+WRvP45rSx8y1uwjLD7GikZofE9Sf5XLnbnuAC0VGYXFx5BhIaOK9Hz8ekRZ5W05qDOVGQVUZcszYH49olA7OXFk7ncgSWSvP0SIDb/g0TGk/yK3Sda6A7QYJPMrO5FBdX4ZAOVnslC7OKFycgAhEEIQPKonGb/uwtHDlaIjqZeUR5Eij7QVCYQp8giLjyFVaZ/UX3aZn9cUl1OclIpUazTXoSI9Hwd3F4oTU8j8bS/BI3tSuO9vQsf0brQOLZU6GHU1FB04i7G6fvbXFu6tA5UZnuqLprFFr+5d8fL0uOL0AJ4926BLy6c6Q9bZ/NV78B/d2ypNwOhe5P6yA4CC3/fho+isW7tQShNOAGAoKqe2vArP7q2t8rq2DkLTwpsTX8kzxgWXsGsnd1cKlDY5tyKBCMWuDZU6czoHV2caO3066uYBpG+QP2iayndYwqdHG0y1Rs6vSEAyGMlavZdAG50NtLDtHAvbBgga3QttZiEVZ7KsaFam5qHNLEAA+nItLft2sKLZlHZXW6GjIj2fqsxCig+dQ5dXelm7a9mI3V2wsDvfHlFcOJNFyRFZpulr9hF6Gd9h6V/TL1KHgv1nqCmtNNMIi48hbUUCuTtOUHToHE5ebpQn51q10z+xa4D2948ic/1BqovKAdm2K9PzcfJyw8XPk7xdJ3ALb2FTp8Zjhtm2axratmdUEKk/bQOg6DK++lp8Ux2cPVwJ69ueY8u303ZkDMdX7KKmXEvOkRScPd1ws+ENkHMkhaqCsgbPL2QVUXj6vNVl2b492ljFu6zVewmyafurjXcebUMoTUw2vzcZTVQp8e6fxrfG7LrkZAa6/DL8e0RRcTYblaMDQogmqQNYx2yXQB+02cVmOWU34juC4ntx3sJ3+Fv4jsDRvaiy8R22cpJqTVQqcspT2ldjIyeN4mPzFFv9e2UCUfG9sEXbsX05u2YvAK0Gd6Xo7/MU/Z1JxKgYTi/fgWSSKLgED0d3VwoUHmdXJhBpwWPAy3exb+FykCT8u0RQnp6PtqAMJKnJfIdJX0tlZgEmgxGTwWimW56cQ3lKLgAt+3e4Krp18b4ys9CKJsiDST1fnMyRBcttRfkQ8DFQ98FW0EDY1wkkSWrW3/WK67JzKIToDMwDhkmS1A14GlgMfCdJUjSwDPjoCkj1QB6R6AS0BgZKkvQRkAMMlSRpqJLODdiv8HoN6CCECFDe3Qd8fTXl92zpy4Wc+uVu5XkleAb6XA0JOt3Qm8c3vM4dnzyNZ5AvmkAfqixoanNLcLOh6RboQ1VuifnvqtwSNI3wbXfHYLK2HUMT5ENldjHhI3si1CqMegOaYD80wX7mtK6BPmhzZJqS0YS+XIuTrzuuQT5obcqjCfTlwuksAvq0x8nHHbWrE8HDuqMJ9kUT6ItOSe/XrwOGC1Wona3PE3cJ8jGnkYwmDBVanHzlD3qfHlGM2PEWI7a9ydGZXyEZTVTnlXLu0z+44fBixhz7BEO5jpydJ8z0bGXWmDw0gT5oLWSmtUkj0yih7SRZZtrcElyDGtKospCRoVyLsyKjuud1tF1t+EeM70/66r3mv0NHx1BTWs6FU5kA6PJLG+RxDfRBZ8PPydfdKk3IjX0oPZ6OSV+LVGvk8KxvCLupHz0W3oNnuxBSft5OVU7D8rjayMMyjYu/Jzrl40hXUIaLvyeNQRPogy67mAtnsgjo2x79hSo0of4EKbpglvtl6nAxhI/vT+bafVeU9lrgEuhLtYX+1OQU42wjL+cgX2qy63W2tkKLo68HFacy8I/vJX8AhQfgEd0aZwu7AgicMABd0QUqbXT0SuzaMk2vmbcx+cCHtLl5AIffsV6CrHZxwj3Un3RlhgyaxndYwjXIBydfD7JWyzMn1bkluNp0IF1tbLtWsW21xpm208Zx2qbcrkE+6HKLGbplETeckJc/S5L1qXFNaXeuis4CRE4aQvHh5AZ5rkRn/x97Zx0d1RX17efOxF2IO8ElJAQnQIJDcSgFKkAFSqFAcWuhFCt1oC2lLkiFFgpFggR3d0mIuxKbZOx+f9xLMpOEAoX07ft+81sra2XuPWefs/c+ex/f19fA7qw9XSpo3quHTQ2+oypNSxc7bLwqn1fkvU8fYl3Vz6XlUXdEZ9L2XzJK86h2be3pjF+fVtz6fl+1+oYtfJbzizegLijB3NayWn1q6jP+DtaeLtV4qA3fdA+Ofm6U5hbx1PvjaDKgHU0HdsDcWuKjKCMPe49H66+rwrAvA1DVYBOP2t8V3kjGtW2jir7VIcBDWvy7J49/0L/dw73+rWpewUxBgdyenwQPVftsUS9SeCXRSE5WDyijqu+4WcV33JOTuSwnxwAPlOaVcirOyMOuigzsPJ0pzsj72zTebRpSmnOXgoRMAJzqeiIiMujHWQQPaIdX6waV+R/CxxqmCezZktKMfHKvS/2+jYczxbINeYTXo8EL3aj/QjccDXZV/4nvsPF0RpWZb/yuik+ycnV4JLqG9ahKs8HYnqREn6uwTQM0kP+OAieA3lUTmPA/i//k5BDoCvwqimIOgCiKeUB74N55lB+BiIegc0oUxRRRGlVcAALvk04HbJbLEmX6zwmC4CSXu/MfcfEPcXPvOT6MmMpnfeYSd+QyQz549YnRbvH6APQ6PXG/HwXg7p10StLz6LVrCYFDOlKWVYD4GKF7C2PTuP7ZNqI2ziFy/WzyryZWrCDeg9/gDuSeuf1IdPPPx7G3yyxiei+gweSBKCzNMXe0xat3OLvaTGFHi4mY2VhSd0jHf1z3+8GlqT+iVs8dWWZPCgpzJT49W5K07SQASmsL/Pq0Iv9SwmPRdWjgQ8iCEZyd9TUAgpmS4NHdyDlxg6NjP+LutSSavj7gcavPgxa9im6ncf3TbTSa2B/vni0puJr4WG3rHvwHtSdpy7EHJ/wfRPqGGMrTc2kdvZwG74zm7ulb1Xj3GNTBaKf7n+LMyl/Z2GYKsX8co8nYHkbvAnqEoS4oQVv88Lus90NV33EPtkGeiDodRTdS7pPz/mg0cyix63agKy2v/lKEmO7z2B02CbsAdyydHm7x4EGoaneGaDxlIKJOR84j+ieQ7K7FghGcke3ufwp2fnUQtXri/6G/umfXrd5+jvPyToYhHBp4k77/IiqDge5/DQ/yTQqlEs9mgZz7aR/Jp26iLVfT7rX+f5/pX0RN/V3R7TRurdlGx01z6bhhNpri0icSZj9k8oAa+zdbL1ecQ4M5P/OrJ8ZD1T5baWmOrXzV4FHRaOZQ4mrwHcW307i9ZhsdNs2l3YbZqItLqy0s/RM0HNiem1srF5QUSiXerRqwa/JnZJ69jWfbRvh0bPrIdM2sLAibNIDTH/xW7V32lQR+ajeVC+/+SsG1JLp888Zj8fBvwtrDiYD+bbj5TXRNr82QjpZGAiOBLwGnf61yjwK9WLt//1H8XwhIo0We5AqCoAAsDN4Zeg0d9+e3TBRFw3Mn3wLbgDKkSaq2pkyCIIwDxgF8NnMlg8YMByD14h0cDXYJHDxdKHyEQaCqQDoy1Ob5HoSPjMKjoR+3fz6IrQFNGy+XiiMl91CSkY+twaqbrZeL0eCz/tOd8O8exo5nlgNQmp6PracLu2esxEYv0mTSAIJf6EpRXEZlXTLysfF2QZWeh6BUYOFggzqvGFV6vtEOo42XC6XyytudjQe5s1E6ahcyZzil6XmUZuRh7e2KoFTg3bc1iZsOGgVLAChLz8fa27WiLHN7G9R5RUZpim6noS0pw6GRL7b+7pQmZaHOldKk7ThNw2ejaPZqXwByLtwxkllVeQCUZuQbHb+yqZLGpUkA9oEe7BiypOK9Kr06DVsDGZk72FAuy8jW25i2yoC2d9cW5F9OqDiyZR/gjqWLPb792uLWrhHWXi40n/sMsd/tNSpPlZGPdZXy1HlSm7H2cqHDN29wavJaShKzCB7Tg/ov98LKw4nkrSew8XYledtJGkzqL9W5ijxUVeRhmKYspxBrdydUWQVYuztRnltITSjNyMfaR5J7/MaDWNVxBMDMzqpix7O0Srsy5OHv4NTEH4VS8dgT6IdBWUYeVgbtx9LblfIq8ipPz8PSx5VymQ8zexs0cpu9/dYPFenCty9GJR/b8R3bE9+X+2Dt50by5tvYebuSKaezfUi7rpoGIPaPY/T+YQbnPvidJqO702hUFPZ+buRcjn/ivsMQjk39jezUysul2sRBJdt2mYGc1HlFOIfVw6dfW5q9OQpzBxtEvYiuXEPBxXis5TprCktRZeRh7mB8TfxJ2R1I7d6lZT0cGvpyYPgyGrzcu5pt/F2btfZyIeKbNzgp251EM6/CDu7Vo7QG32Hj7UJpFR5K0/Mrdtkr8hrUJ2hYBPaBHvTds5Rc2c9lA3WHd8La05m9I4yD9/wTu3ZtEUTE51IAH0sXe3y6teDaFzux83Oj/tge1BvdHStXBwSlghbznuHisp8ry6qhz6iK+mN6EPysdHgnt6qvriXfdA+BnZoh6kV6L3uR9Et3KM7Ix7OFdOzb3tOFosyH769rwr2+7B6sa7CJR+3vCi7Go7QyR1AKmNlbU363FE1J5RDnn/Rv9YZ3wq97GLuGG9u1jZcLTcf1puh2akV7fhI8VO2zs/ZfxG9EZyM5ld2njJp8h3e/tjQ18B36cg3x30RXyMm8BjnZebpUHDO9h+KMfOw8Xe6bRlAqqNe7NRuferPimUt9HywdbBiyYS45F++gLimjTrNAUo9exe4hfOy9NA6B7jj4ufH07mWApMc2c4ZTEJtWcW3AxsuF7DO3cWrsh6WLneQj/oHvKM3Ix9pgV7wmn1SWW/jIdKs9T8/HpVkg9oEeDDz2AQBm1hYAsUA9IAU4CWiAeOAW0mTxNCb8J/Bf3TncDzwtCIIrgCAILsAxYIT8/lngsPx/AnDvMPYAwPisYs0oAu57AUkUxTSko6cLkCaK90u3ThTFVqIotkr/5UJFAJkb0WcIHdIJAN+wepQVqR76biFQcT/x1I97OPDJ76ReukPirrPUGyZtlrq1DEZTVFptq16VVYCmWIVbS+l8eb1hESRGnwXAJzKE5hP6sWfsh+jK1ABkX7yDY10vnOr7oDBXEvxsJOW5RRTeTq2gmRp9jqCnJeft168NmUeuApASfRb/ge1QWJhh6+eGfZBnxd0aS1fpSI+Njyt+fVuT+Mcx8i7cwa6uJ35DO1IUl4ZH1xaky3W7h/Tos/gPl+Tm068t2Uelsmz83RCUUlO19q2DfT1vSpNzKE3JwSW8PkrJ6eDWqSkJ20/yZ8/5/NlzPkm7jWWmLryPzIqMZZa0u1JmgX1boylSYe3miMJcScDAdqREnzOikRp9jrpPS/X279eGzCPXZBmdI6CKjHJlGQEEDDI+2lZwI4XNzV+jLKuAA0OXokrPQ5WRR3KVFd203ecIHC7pxLdfG7JknZg72BDx4wwuL9tE7ulbAMR9t4cDQ5egLSkj6+hVAp7uhEfnZqjvlv6tPOrI8ggaFkGyLI+U6HPUlfVTd3iniudVkXvhDvZBntj6uWHl4Yz/wHbkXojDV24LNfFwr109CP6D2pNoILPaRNH5OGzqemLl74ZgrsRjUAdydp8xSpOz+wxew6UobO7925Ev86GwtkBhIx1Tc+ncHFGrp+SWZFcp30aTvfMUCau3krDrLPXlNureMhj1fexaXazCXdZJfQO7dgiqXHUP7NWSAnkCeu37vWwbtgS9Xs+17/Y+cd9RAUHAtW0jFJbmkp2aK/Ed1J6MKradYWDb3v3akiPb9pFBi4luPYXo1lOI+3IXt1ZtJf6baEqTs7Cv54WNvxtKeyvqhNcnde95I5pPyu4ALBxtcQj24tz87xC1OvwHtiO1Svu+X5s1d7Ch848zuLhsEzmy3QHkGdgBQGANviPlb3gI/Bse4n87QlFCJjt6zCdl11mChkXgFRlC82mDKbydRklStlE5/8Sut7Sbxpa2b7Cl7RskbT/FqbnfcX3tDnRlGvYNWcJfEdMpzy8mecepionhPb3U1GdUxe3v9rCrxzx29ZhH6q4zBA6T6lDnAb76cXzTPZz4bBtpF+LYOmkNt6PP0mRQB3Jvp+IdFkx5UWmNdwsfBfkX4rCr62lkE4/b3wGkbjvJ/u7zOD76Ayyd7bCTJ6D/tH9rPqEfe8cY27WFgw09fpjO6bfXY+nq8ER5qNpnW/vXQWltWVGGz318h999fMee1lPYU8V33JPTge7zODn6A6yc7bCX5eQp67e0ipxKZR/rKd/Nazw0gjsG9fCPaEZeXJrR0dPDS9ZTmJzDL4PfJmHPOXw7NCH/diruYZIfr6kMTbEKd7mMBkMjSIg+S96NFL4Pm8j6Dm+wvsMblKTn8VvPedh718GtRV0U5koCB7ajOCkLQSFQLi+0/BPfkXvhDnZ+dVCYKyvoVvVJWSduPBJdw/7ekGbqvgtsDp1U4UO0KjVIE0OALUi7hgB1kI6Y3uG/iP9Pdw6F/+qFSEEQRgMzkXb8zgMLkSZqdYBsYKwoikmCIHgAWwFrYBcwURRFO0EQIoEZoij2k+mtAc6IovidIAivA5OANFEUowRBKBZF0a5K+SOAqaIoGofIuw/eCnzWSJBPLR5D/S4h0qcsZn5B2uV4ACbsWMbnfaXPN/ScM5LmAztg7+FEUWYB536OIebj3+k+6xkadW+JXqdDVVDCtgXfYHszg/ZLRuMbGYK2TM3haevIuSTRHLR7KVt6yaGVQ4Lo/OE4KWz1gYscXyDtXjx95AMUFmYVgQyyzsVybO631H+6Ex3flUJOl6blsv/pZQSP6kLexXhSo8+hsDSn/aoJODcLQF1QwtEJqysGHk0mD6TuiC6IOh3n3vqJ9BgpYli3P97E0tkevUbL+bfXVwwO/KNa0GbtJPRqLbHrdnLzk600njWMggt3SJfLarXmNZzksk6NX01pUhZ+wyJo+PoA9Bot6EWuf/gH6bukQXrjmUPxHdAevU7H3csJxMz6Gr26cqO33dLR+ESGoFNJMsuVZTYgeil/9pRk5hoSRKePJJmlxlzkhCyzoUc+QGlphk6jxdbTBZ1aw7VPt3N11Z+EzBxKroGMOqx6FZdmgZQXFHN0whqKZRk1nTyA4BFdEHV6zr71I2nyvQ6ltSWDT3/M1vbT0BRVBhWR5BRC6OLnsQ1w5+an27iy4leazhxK3sX4Cjm1WV2pkxOvSjppPHUQjV7vT/GdzApah0asoDy3kLovdKP+y72wdHVAaWVBcUoOxyavJU+WR989S9nRQ5KHS0gQHT6W5JEWc5HT8yV5WDjb0Wnt69j6uFKSmiOFiy8owcrNkT4738Hc3hr0ejQl5Vx460dC5g7HxscVTbGKsswCCq4nk7ztJGkyD+1WT6jQ9fFXK9tVv1MfY2ZnjcLCDM3dUg6OXEGhPLF66sRHHHpuJUWx6Qy5/M6DzLICMxeu4PT5SxQUFOLq4sRrLz3P0P69/jbPoaZzce0WSoN3RoNSQfrGAyR8/Ad1Zz1N4cU75Ow+i8LSnCZrJmHfPBBNQTFXxn9CWWIWVn5uhG6aB3qR8ow8rr+xlrKUyvDrHU6t4sKoFVxJzKbDktH4yXZ90MCuh+xeyu8Gdt3lw3HSZyYOXOSY3Ea7r5uMY10vRFGkOCWHI3O/rVjNrf90J/wiQzgw8dNa8R0Anu0b037OcG5++AfNFz+PoFSQuPEAtz7ZSiPZtjNkfYeveQ3HZgFoCko4Ldu2IRrNGIq2pIzYz//CobEfbb6dhrWXi9GnLGrL7gYc/QBze2upDQtQcDWJvX3foplsd3/XZptMHUTj1/tTZGB3B2W7a//lFHx7hyMoFWiKVNz4chcoBPIuxpMi0+xowMMRAx6aGfBwxoCHiM8m4tG+MZYudqiyC7n0wWZcmgdSX96FK0rKRlemJudsLHXC6/1juzZE+4/Gkbr3PEl/nca3awgt35Z0nX81kbKsAtQFxQ/VZ/Q/+THmBrYdM3IFhbdTCV0wknqju2NmY4mo1RH38yFOzpKu+j9p37Q9cjbx5Srcm/jT592XUZqbYWFrBYKAuqSMHTPWkSH312N3LOXbvlLZkXNH0MSgv7606QBHPv4dz5C6DFk3FStHG3TlGoqz73K48yw8uoUSYmATT6K/67zlLSxc7NBrdJxYvIGAPq0eu38rk+06+1wsx+d8S4spA2k+qT+F8ZlY2lpJu3lZBST8tP+J99mFlxNI236Spm89i6BUkHQf39HSwHecqcF3NJR9x71PWUQYyGnfkg0E925FQGQIWpWaPTPWkSXLadTOpRWfpXAPCaLHB5KPTYy5yAGDkx89PhhHxvlYLv+037jcwR1pPbE/giii0+iwsLdGq1JzYPo6suUyhu1aym+9pTLcQoKIkn1scsxFjrz5A1Xx7LGP2PzUm7iHBhP54TgsHWxR5xdRnJLL3duppOw6+1i+w6tLcyycbBF1elKiz3Ho5U/otHYSHh2bYm5nhbqwFEQRbUn5Q9P17tqCVm8/h6BUELfpIFdW/VmNr2duf4W5rdW9UPgC8AHSXUMdsBSoFrXmv4DCl3rU6iTJ4es9woNT/fv4z04O/6chTybPi6L4UBdIqk4OnzQCtLXbfmz+hRUMy3+hjLvK2t0Mt/gXzMXiX7DJcqF225P5v8DDo0wO/wkONZ1bq/QB7pg/zEGHx0NtHw9x1T7+fZ4HoURR+4dczGq5zWpq2eb+LSipXTnpqH05pdSy2TUor32bqO2+DsBRV7t8PPZ3wx4CCRa1LyfLWu7u7HQPTvO/Ac+l/fS/zgneHdu9VrXr+O3e/6RM/i/cOXziEAThLFACTP+frosJJphgggkmmGCCCSaYYMK/AdPksAaIohj+4FQmmGCCCSaYYIIJJphgwv9J/IfvBdYm/qsBaUwwwQQTTDDBBBNMMMEEE0z4F2HaOTTBBBNMMMEEE0wwwQQTTDBE7V8f/k/CNDl8QmisfnCax4GXroaPRD9BlP4LV8NdlbUsJACdVa2Sv2VZ+5vtzctq3xvVsyx9cKLHwGaFba3SB6jzLwSM6Xy1+nf9niS2t5pXq/QBFrbPfHCix8CeA961Sh/g7r8QueKFUaoHJ3oM/PqTzYMTPSa6e6fXehkxaV61St9fW7t9HUAH17u1Sv/uXetapQ9gaV7j55efKH7ROtUqfXd97cfiCFDXfn8abVW7umghWjw40WPC7v/TSZAJNcM0OTTBBBNMqAG1PTE0wQQTTDDBBBP+uxBNdw5NMMEEE0wwwQQTTDDBBBNM+P8VpsmhCSaYYIIJJphgggkmmGCCIfRi7f49BARB6C0Iwk1BEGIFQZjzN+mGCoIgCoLQ6nHZ/l9xrFQQhDFAK1EUJz1k+qnAOlEUa/diVSV6P3X4PQSFgriNB7i+ZpvRS4WFGe1WTcCleSDl+cUce3U1JSk5WDjbEbFuCi6hdYn/5RBn539fjXCn76Zh5+/OhS7TKp65RIVSb8lYBKWC9PX7SFq9xSiPY7vG1HtnDHZNArg2/mOyt5+oeBeycT4O4fW5e+oGl59bYZSvTlQLmiwZjaBUkLx+P3dW/1mNj5A1E3EMCUKTX8z5cZ+gSs7Ge2hH6r7WvyKdfRN/jnSfS9HVRFpvnIOlhzOCUkHpqWskzPsS9HocI8MIeOdFBIWCrI17SV/zh1FZ9m2bELD4RWwaBxA74UPy/jpe8a5N8q+U3kgCQJ2aw60xlcf/PKJCCHnnBQSlgoT1MdyqQRetVk/AKSQIdX4xp8avojQ5B+ewYMLee0lKJAjceH8zaTvPABD8cm8Cn4tCEAQcNsVw5pvdRjS7L3qe4KhQNKpy/pqxjswrCdX02Hnm0zQbEoGVoy0fNnm54rlfm4Z0W/g87o382Pr6Gm7uOI1bVAuaLHlB1kMMcTXoocWa13CUeZD0kFMh++bvvYSZnQ2iqOdorwWgEAj/cio2ge6IOpHMPWcpeu+bSll3CcN30SsISgW5m/aQ+dlmo/Js2zTBd+HLWDcOJGHS+xTsOFbxznveaBy6tkIQBAqPXCR14ZfVeL+Hpxa+QIOoUDQqNZtnrCX9anU5dZ8xnLAhnbBytOWdpi9WPA8b1pnec0dRmJkHwInvo3FJzKHBkjEISgVp6/eTuHqrES3BwoymayZiH1IXTX4RV8Z9QllyNoK5kkbvjcMhtC6iXuTWgu8oOHYNpa0V4X++XZHfzMUPfXkx+pLc+/J0DwuWfciho6dwcXZiy09rH5j+YTF44WgaR4WhUZWzccbnpFSRmbmVBWM+m4prgAeiTs/VfefY/u7G+9Iza9Ea6xcmgUKJOuYvyv+sOa15m87YvvE2RfPHo7tzC7Pm4ViNGIdgZoao1VK2YS3aq+cr0ntEhRC2+HkEpYI7Gw5wswa7a7NqAs4hkg88MX41pSk5uHduRsj8ESjMzdBrtFxcvIHso9cA8BvUnsaTByKKIoVZBRSl5uDbsSlaVTn7pq0jpwY7c2seSNcPx2NmZUHi/gscWfgjAK3fGELjUZGU5RYBcOLdX0iKuYhvp2a0m/MMSgszrO3UqHd8jy7uCsoGYVgOeBEEBZrTe9EcMPZPZuFRWPZ9AX2h1B41x3aiPb0XhVcgloPHg5U16PVo9m9Ge+loRb62i5/Ht2soWlU5R95YR24NPLg2D6TTR+NRWlmQsv8CJ9+SeGi1YCR+PcLQq7UUJWZxZNo61IWleHdqRvi8Z1Cam2GLioJVX1B+5gJW7VvjNH0iKBSUbN1B0febjMqxGzUMu4F9EXU69AUF5C1+D11GFgCOk17BOqItAHe//gnVngM4TZ+IVce29C/ScfSNdeTVUHeX5oF0lOueuv8Cp+W6WzjZ0vnzSdj5uVGcnM2hV1ejvluKhaMNHT4Yh32AO7pyDcemfwlX47AO9qbpujdQ2llj6eWCYK4kd+85rjz/rlF5/7SvM4R1x1a4zp6AoFRQ+Psu7n79s3EZLwzFfkhvSU55d8l+6wO06ZKclJ5uuL09DTNPNxBFMl5bgDat+h3f2vaxtp3D8XxzHIJSQf7P0eR+8auxXl4chPPwXog6Hbq8u6TN/hhNWjYA/t8uxjq0IaVnrpH8ytvVaBuiz6IXqB/VAo1KzZYZX5BeQxvoOvNpWgzphLWjLcuavFTtfeM+rXlm7VTW9VuA9qKUP+Lt5wmQ7eJJ2balkx29v5iMZ8t66Mo1qPOKSFwfw+0afFNLgzHBGXlMcA/WPq50O/QeN97fTOznf2EX7EXrL16veG8T4I7mo1+I+WZHxbOnF46lqey3f5jxGclX443KNLey4JXPplEnwAO9Ts/lfWfZ+u4GSX4vPUXHEd3Qa3UU5RXy06zPIbGQDoufx1+W0YE3apZRneaBRH4kyShp/wWOyfZ3DyHj+tD+rWf5vvmrlOUX02beM4S81BsEUGUVcHDMRxRcSzKSTYdVr+LSPIjy/CKOvLqGkhRJNk0n9Sd4ZCSiXs+ZBT+QfvAy9sFeRKytHKbb+7tz8b3fuPnVbkJmDgO4hBTiJQsYA6RVY8IEIwiCoAQ+BXoAKcBpQRD+FEXxWpV09sAU4OSTKPf/6s7hVKD2b/9LUAKfHnh2JTsiZxEwsD0O9X2MEtQdGYm6oITtHadz88udtFgwEgBdmYZL7/3KhcUbaiTs26cV2pIql/MVCuqveIlLo5ZyqtMbuA/uiE0DX6Mk5ak53JjyKZm/H6lGM+mzrVyftLp6YQqBpite5PSoFRzqNB3vwR2xa2DMh++oKLQFxRxsN5X4L/6i4ZujAEjbfJQj3eZwpNscLk76lNKkbIquJgJw/pVPONJ1Noe7zMTc1QGX/u1BoSBw2SvcfHYJlyKn4DqwE9b1q/KQTdzU1eT8cbhaVfVlaq70mM6VHtONJoYoFLRYPpajo1ayp/NMfAd3wL4KD4GjJF1Et59G7Bc7aSbrovBGMjG9FrC/+zyOjXyX0PdeQlAqcGjkS+BzURzo8yb7us6hXrcwnAI8KujVjWqBc5AnX3SZzq65X9NryZjqsgVi957j+4ELqz0vTMvlr+lfcG2rNBgQFAJNV4zl1Kh3OdhpBt6DO1TTg9+oKDQFJRxo9wbxX+ygkawHQakg9NOJXJ75NYe6zOTE4HfQa6SL8nc+387BiBkc7j4Hl9YNcYhsWSEzvyXjiRv9Nte7TcJ5QCes6vsZladJyyFx+ifkbz1k9Nw2vBG2rRpzo+cUrveYjG1IPezaNauR/waRobgGefJR5DS2zPuKAUtfrDHdjX3n+HzgmzW+u7z9BJ/2ncenfedx7teDNFzxIhdGLedEp2l4DO6IbRU5eY/qiqaghOPtppD8xQ7qyXLyea4bACcjZ3J++BLqL3oeBAFdSRmnus2u+EOvRSwvqbEuVTGobw/WfrjkodI+LBpHhuIW5MWyyKn8Mu9Lhi19ucZ0MV9uZ0W36bz/1ByCwhvSKDK0ZoKCAuuxUyh5dw5FM8Zg0aEbCp+A6umsrLHsPQTt7cq+Ryy6S8n78yia/RKlny/H5jWDYEAKgZbLxnD42ZXs6jIL/0Htq9ld0MhI1HdL2NlhOrfX7SREtjt1XhFHXnif6K5zODV5LW1XT5CqqlQQ+s7zHBi2hD3d5qIpKcOnQxPWd5rOgdlf02XZmBpZ7LxsLAdmfcX6TtNxDPLEPzKk4t2lr3bxS+/5/NJ7PkkxFwEoyytix4sf8HOPuZT/shrLZ6aAoMBy0CuovllC6YdTMGvRCcHdt1pZmktHUX0yHdUn09Ge3ivJSVNO2c+rUH04lbKv38Gi/4tgJXVFvl1b4BDkyeaI6Ryb/TXtl9fMQ/vlYzk66ys2R0zHIcgTnyiJh7RDl9nSdQ5be8yj8E46IZP6V/Cwd8wHbOk+l7y338Xl7bmgUOA8azLZU+aSMfxFbHp2xSzIWNeam7FkvjCBzFGvULrvEE6Tx0nq79gWi0b1yXh2HJljJuHw3NNYd+2Emb8vGUNe4Pjsr2l7n7q3Wz6W47O+Yotcd2+57s0m9ifjyDW2RMwg48g1mk2U6t789YHkXU1kW495HJmyltaLnwdAFZfGmR6zAZFTnaehySnEOtDzyfR1hlAoqDN/EhmvzSd54CvY9YnEvK6/cRnXY0kdMYnUoa9SvOcwLtMq7dB92SzufvcrKQNfJnXk6+jyCmoso1Z9rEKB16IJJL24kNheE3Ds3xmLesb0y67d4c6gqdx5ahKFO4/iPqfS/+Z+uZnU6R/8vZyA+lEtcAnyZFWX6Wyb+zVPLRlbY7pbe8/z5cC3anxnYWtFu7G9STkXW/HMP6oFjkGeT9y2deUaTn64GW1JGRnR59h3nzFBwKhINAUl7G0/jbgvdtJE9k330Ozt58jcf7Hid3FcOjHd50l/PeejU6m5uPtUxfumkWG4B3myKHIy6+etY8R9/PbeL7exuNsbLH9qFsHhDWki++2Uawms6D+HpX1mcn7nCQbPfQ6/rpKMNkVM59Dsr4m4j/11Wj6WQ7O+YlOEJCO/qEoZ2Xq54Nu5OUXy5E5QCDQY3JHfByzkm4Yvg06kw6rxRvSC5bHrnx2nc+PLXYQtGAGAQ31vAga2Y3vUbPaPWknr5WMQFAJFcens7DGfnT3ms6vXArSqclLkRfZrn/8FEAKEAtuBmhvJfw36Wv57MNoAsaIo3hFFUQ1sAgbWkO4d4F2g7NGZrI5/bXIoCEKgIAg3BEH4ThCEW4IgrBcEobsgCEcFQbgtCEIb+e+4IAjnBUE4JghCwxroPCWnqSMIQk/5/3OCIPwqCIKdIAiTAW8gRhCEGEEQXhQE4WOD/K8IgvCRQX3WC4JwXRCE3wRBsJHThAuCcFAQhLOCIOwWBOHvwrO1AWJLkrLRa3QkbT2Bb69wowS+vcKJ/1Vy+snbT+EZ0RQAnaqcnFO30JVrqhE1s7Gk0fi+XP14i9Fzh5b1UMVnUJaYhajRkrXlKHV6G+8glyVnU3ItqcYt64LDV9AVV4/K59SyHqXxGagSsxA1OtK3HMOjCl2P3q1I+UXiI2PbSerIfBjCa3BH0rdUrnpq5bIEMyWChRmIYBdWj7KEdMqTMhE1WvK2HsG5VxsjOuqUbFTXE0H/8CG07MLqURKfSWmSxEPKluN4VdGFV69WJP0iTThTt5/ELULqaHUqNaJOKkthZQ6y6Ozr+5B/LrbifdLJGzQ0kEv9HuFc2SwNTNLOx2HpYIutu1O1uqWdj6Mkq6Da87spOWTfSK649OwVGmykh7Qtx2vQQ3gVPUg81IkMoehaEkXyyp8mvxj0InqVmlx5N0bU6Lh7OR5zL1cAbELrU56QgVrWRf62wzj2rKqLLMpuJCJW0YUoiigszRHMzRAszBDMzdDkVOcRoHHPcC78Lsk95XwsVvY22LlVl1PK+ViKs2umYQjf0Hqo4jNlO9CRueUYdXq3Nkrj1rsV6b8cBCBr2wmcZTnZNvAl/8gVSUY5hWgLS3AIrWuU17quFwhKRO3D+dlWoc1xdLB/qLQPi2Y9W3H6d0nPiedjsba3waGKzDRlamKPS7rVaXSkXI3HydOlRnrKeo3QZ6Shz0oHnRb18f2Yt+pYLZ318Bcp27YJNJXRhXUJsYj50g6qPiUBLCzBzBwAl7BgihMyKUnKRtToSN56Ap8qdufdO5wEuc2mbD+FeyfJdxRcSaQsswCAwpspKK0sUFiYgSAgCAJmNlL0Yef6PqQdvw5A5vk4LBxssaliZzbuTljYWZN5Pg6Am5uPENTr70/X5FxNpFQuX5+ZhGBugSKgIfrcdMS8TNBp0V48glmTNn9L5x7EnHTEXCliqFiUj1h8F8HWEQD/XuHE/ib5iuxzcVg42mJdhQdrdyfM7a3JPifxEPvbEQJk+087dKXCR2Wdi8PGS9Jz3tVEVDIPmrgEBEsLLFo0Q5Ocii41HbRaSvfEYN2lg1FZ5WcvIJZLi4/qy9dRursBYB4UQPn5S6DTI5aVob4dj+2Q/pT+FS3J7AF1z5HrHvfbEfzluvv1CifuV8n+4349jJ/83LGBDxmybyqMS8fOtw7mbpK87vV11gHuqBIyyPz14BPp6wxh2bwhmqQ0tCkZoNVSsvMgtlHGcio7fRGxTJJT+aXrmHnIcqrrj6BUojp+DgBRVVaRzhC17WOtWzRAnZiGJjkDNFrubj+Effd2RmlKT1yqqJvqwg3MPetUvCs5dhF9yYMj9TbsEc7FzQY+3MEGuxr6upTzsRTX0NcBdJ0+jCNrt6Etr/QtQT3DuSn3oU/StrWqckSNjvKsu2iLVBVjAs8qvsnTYEyQZjAmAPDq3Upa7L6ZUmMZbp2aUZKQSV5q5U5jSM9WnJT9dsL529jY29bot28dvwpIfjv5ajzOnlKffOv4VTRlknziz9/GydOFwJ7h3JJ9R9Y5aZxRk4zM7azJku3v1m9HCDSQUYdFz3Fi6SYQJVtxDw0m72YKeVeT0Gt0xG8+gq2vmxFN314tuSPbbdL2U3jIYz6/XuEkbj2BXq2lJDmbooRMXMOCjfJ6dGpKcWIWJalSv6E1tkVbKkZZ/22IerFW/x4CPkCywe8U+VkFBEFoCfiJovjXk+L73945rAd8ADSS/0YBEcAMYB5wA+gkimIY0qrCMsPMgiAMBuYAfeVHC4Duoii2BM4A00RRXIW0VR0limIU8AvQXxAEcznPWODembqGwGeiKDYGCoHX5HSrgWGiKIbLaZf+DU9GiitNz8Pay9kogbWnM6Vp0vEjUadHXViKhYvd3wqq+aynubF2BzqVcWdj6elCeVrlMbfytDwsZafyOLDydKHMgK4qLQ/LKoNMKy8XymRDF3V6NEUqzF2MB8ReA9uT9sdRo2etN82l+9Uv0BWryNt+HAtPV9QGZanTczH3qnlAWxMUlhY03bmSpttW4Ny7spO18HRFZchDeh7WXlV5cK5II/FQioXMg3NYMN0PrqR7zLtcmPU1ok5P4Y1kXNs2wsLZDqW1BcFRLXDwrpS3vaczRQZlFmXkYe9hrP9Hgb2nsxEPZWm5WHka06uuh1LMXeyxDfZCFEXabJpDxJ5l1J3Yn6owc7DBo2dLio5eApB1UdmxqdNzMfd4uPZUeu4mRccu0+zMtzQ/8x2FB89THltzJ2rv4cxd2QYACjPycPB8NDk17dOaSTtXMOKzKXg28jNqr+VpuVhWoWfp5UK5gZy0spyKriVSp1crBKUCK3837EPqYultzLPnoA7oy4sfqX5PGo4eLhQY8FiQkYfjfSZ+AFYONjTt1pLbR6/U+F7hXAd9blbFb31uNgrnOkZplIH1EVzc0Z4/UTV7BczbdEYXfxu00qKWtacLpamV9SxNz8Pas7oPVBn4QE0NPtDnqTbkX05Ar9YianWcnf0tPfevoN+FNdi4OVYMIAFK0vOwrVKGraczxel5903TbHQPnoleRtT7r2DpWP1gibJ5e3SpdxDsnRALKvkR7+YiOFaXu1mz9lhP/RCr52YiOFa3GYVvPekYbl4GADaezpQY6LMkPQ+bKjzYeDpTasBDaQ1pAOqP6ExKzKVqz627dkZz8zZKZyd0mdkVz3WZ2Sjd6lRLfw+2A/tQdkza/VDfjsOqfWsES0sUjg5YtWqBmVsdtAb0aqrX39Xduo4DKnnCoMoqwLqOAwD515Lw7ysNYF1D62LrWwdLeeHqXl/nPrgjWX8cfWJ9nSHM3OugzajkS5uZjfJv/J/9kN6UHjkNgHmgL7qiYjw+egufXz7DZdoroKg+pKptH2vm4YomvZK+NiPnb+k7Pd2T4oNnHqp8Qzh4ulBo0H4LM/JweIS+zqtZIA7ertzef8Houa2nM8VV7OJJ2batpzPqgko/XlbDmMC6yphAK48JlDaW1J/UnxvvGx8BNoTvoPakbDlu9MzJw4V8A33nZ+Ted8EOwNrBhubdwrlx9HK1dx2Gd+XqgQvYPqTvKLmPjAJ6tqQkI5+865VHRm28jGVqH+RJaUZ+dZpV/Lalix3WXpXPoWafHziwPQlVZIM0lk4GnuV/y85hLUMQhHGCIJwx+Bv3iPkVwIfA9CdZr397chgviuJlURT1wFVgnyiKInAZCAQcgV8FQbgCfAQYbk11BWYDT4mimA+0A5oARwVBuACMBqqdkRJFsRjYD/QTBKERYC6K4j0rTBZF8d5M5iekiWpDoBmwR6a7AKh+pqgW4dQ0ALtAd1J2PboD/5+EY8t66FXlFN8w7rxOj1jOvpAJKCzMcYho/tjlnG8znqt9ZhE78SMC3n4RS4Njno+D/PNx7O0yi5jeC2gweSAKS3OKbqdxa802Om6aS8cNs8m8mohe99/8IJBCqcClbUPOv/YpxwYswrNvK1w7VZqQoFQQtvZ14r/ajTrp8b99ZxHgiVU9P662fYkrbV7EvkNzbNs0eWy6NeHG3nO8HzGFNX3mEHfkMu1G9/rHtNI3xFCenkvr6OU0eGc0d0/fqrZi7/EfmBw+ChRKBS+smsyh73aRm5z14Aw1QRCwfv41yn767P7l+AZiNWocqq8+/Ic1rRkODXwIWTCCs7O+lqpipiR4dDf29JjH9tBJqItVNBhafZfzYXHlx72sj5jGz73mU5pVQIc3nzV679zAB8s+z1P++8PdF9VeP03pivGoPp6G9vZFLIdPNnov2DtjNWIKZb+uqVipf1IImTwAUavnzu/Gi3BODXxwev0V8pZ99Ej0bPp0x6JxAwp//AWA8pNnUR09ifs3q3BduoDyy9cQn/Ai/z2RXFmzDQsHW/pFL6XRiz3Ju5IIhv5VIVCnZyuytlUbZP7rsOvXDcsmDSj4VrrPJyiVWLdsTu4H60gdOQlzX0/sB/Z8omU+aR/rODAKq+b1yf3y/hOe2oAgCPRa8CzRS9Y/cdoPsu1/ikYzhxK7bge60pq/uymYK/HsGU7an/dfSHsQFEoFL66aQsx3O6v57TaDOhEQUpe96/68T+6Hg5mVBWGvD+DM+7/dN413h8a4t29Ezpnbj1XWPSjMlfj0bEnStmrX3+YDfsB64KFiiPyPo5aPlYqiuE4UxVYGf+uq1CAVSWb34Cs/uwd7pDnLAUEQEpDmRn8+blCafzsgjaGV6Q1+6+W6vAPEiKI4WBCEQOCAQfo4oC7QAGmXUAD2iKJofEC8ZnxF5c7ktwbPq/Z4okz3qiiK7R9EVBCEcd26dXtj0aJF3vtKY+lmUw8bLxdU6carL6qMfGy8XVCl5yEoFVg42KDOu//As054PVxC6tL/5McolEos6zgQ+vsiLgxZRHlGntEuh6W3C+UZDw6Y8SCUZeRhZUDX2tuF8ow84zTpeVj5uFIm82Fub40mr6jivfegDqT9cYyaoC/XkL/7NM69WpP7+yEsDMqy8HJFk55XY76aoJHrVZ6USeGxK9g2q0t5YibqjFyjXT1rL0nmxjzkY+3tWqELc3sb1AY8ABTdTkNbUoZDI18KLsaTuPEAiRsPAOC5YAROAe6M3SFtJqdfuoO90U6iC0WZxvp/FBRlSPW7BytvV8qqrOZV14MNmrwiVOl55B2/UaGTrL0XcGweRO5h6fhK8w9eoSQ+g4R1O/G2lGipM3Kx8K7cUbDwckWT+XDtyal3e0rO30RfKh29LDxwDtuWDSk5JR0Ta/t8D1qNjAIg9eIdHL0rV08dPF0ozHh4OakMVn/PbIqh9/znKDZYubT0dqW8Cr3y9DwsfVwpl+VkJssJ4PZbP1SkC9++GFVc5cfD7ZoEIJgpQPdEju4/Ejo+35P2I7sCkHQxDieDtuDk6cLdjJrtZPjyV8iOT+fQNzvvS1ufn4PC1b3it8LVDX1+5Qo3VjYo/IKwe+tjAARHF2xnLKXk/fno7txCcKmD7bTFlH62An1WZRwBVUYeNj6V9bTxckGVUd0HWhv4QHMDH2jt5UKHb97g1OS1lCRKAySnpgHS86+mApB3Mxn3FpVHf229XCipUkZJRj52BrsChmlUOYUVz69tiKHvd5WLrLaeLvT5ciplP69CzMtEtHNEcKrkR3B0RbxbRe6lle1Re2ovln2fr3xnaY3V2PmU796A0qeuFKAGSI1JwNZAn7ZeLtVW6ksz8iuOi96TpWGaesM74dc9jF3Djb/BaePlQtevp5K7cDm61HR0Ls4oPSqPiCk93NBl51AVlm1a4jB2FFnjp4Gm8npD0bcbEItLsB3UF/PGDVBfkY5T3jsMWLVeD6q7KqcQa3cnadfQ3YmyXEkfmmIVx6ZVjoWGnPgIVaK0cFWekYddsyCKLsejyb77xPo6Q2izcqRgMjLMPNzQ1eD/rNuF4fTKSNLGzqiQkzYzm/KbcdKRVKBk/zEsWzQG49hFtepjpXrkYu5VSd/Ms06N9G07hFLntWdIGDUbUf1wH21v/UIPwkfIPvzSHaP+1cHThcKH7Oss7Kxwb+jHmE0LAOmEzEt/LKIoOZu0Ezewq2IXT8q2SzLysXCqPKFgVcOYQCWPCcoM+gl1XhHOYfXw6deWZm+OwtzBBlEvoivXEP+NdLzao2sody/HU55TSOdXetFxpHSXPfFiHM7edYCbADh7ulJwH789avl4suIzjILZADTs2Jwh85+jOK+ImVuWUXwh/qF8h20NMnIIdMfBz41h0csqng/ZtYTD877DzssFl8Z+dF75MglbTlQbC5Vm5GNbxW+X5xWjSpee30NVn+/dtQX5lxMoM9BNFawHdgDVAzGYUBWngfqCIAQhTQpHIJ26BEAUxbtAhQMQBOEAMEMUxcfaXfqvBaRxpHJGPKbKu0RgKPCDIAhNgRNAR0EQ6gEIgmArCEIDOW0R0mwaAFEUTyLNvEcBhuH5/AVBuDcJHAUcQbJot3vPBUEwl8urBlEU1+3du7d5RERE7oCG7VGYK/Ef2I6U6LNG6VKjzxH0dGcA/Pq1IfPI1b8VQuwP+9jachLb2k5l76C3KbqTzoUhiyTGzsdiXdcLK393BHMz3Ad1JGf34+8w3j0fh21dT6z93RDMlXgN6kDmbmM+snafxXe4xIdn/7bkGvIhCHgNaEeawX1DpY0llvK5eEGpwKl7OGWxqRRfiMUqyAtLP4kHl4ER5Eeffqh6Kh1tpbuLgJmLPfatG6G6JZ3qLb4Qi11dT2xkHnwHtSe9ii7So8/iP7wTAD792pJ9VOLBxt8NQSmZg7VvHezreVdELLOUj0BZ+7jSsHcrds/7hm/7zufbvvO5HX2WZkMjAPAOC6a8qLTGu4UPi/SLd4z04D2ofTU9ZFbRQ46sh+yYS9g39kNhbYGgVODaoTHFtyRzajBnOGb21lxb8IMRrdKLt7EM8sJC1oVz/07c3XOKh4E6LRv7ds1AqQAzJXbtmlJmcOTp5I97KgLIXIs+Q+gQSe6+YfUoL1I91N3CezC8n9ioRzhZt5KxqeuJlSwnj0EdqtlBzu4zeA3vAoB7/3bky3JSWFugsJFmxy6dmyNq9ZTcqlyI8xjSgYz7LHLUNo7+GM37fefwft85XIk+Q+shkp4DwuqhKiqlsAaZ9Zk+HCt7G7Ys/qHaO0Po4m6g8PRB4eYJSjMs2ndFc9aAT1UJheMGUTh5JIWTR6KLvVY5MbSxxW7WCso2fonulvGx1fwLd7AL8sTGT9KF38B2pFVps2m7zxEot1nffm3IknVh7mBDxI8zuLxsE7mnb1VWJSMPc3trDo5Yzp4e89CUlGNpLx0X8wgLRl1USmkVOyvNKkBdrMJDvvvScGgE8bL9G97PCerdijz5DpGFgw1PfT+dE8t/Rp94AwB9SiwKVy8EZ3dQmmHWIgLddWP/JNhXHqFSNmmNPktuP0ozrF6YjfbcAXSXj6M5vqsiaE3S7rPUGyb5CreWwagLSyuOWlbwnVWApkiFW0uJh3rDIkiSZekTGULzCf3YO+ZDdGWVd7YsHGzo8cN0zi77GfUlSa7qazcw9/dB6e0JZmbY9IhCdci4TZs3qIfL3DfImf4m+nyDeigUKBwdKP51K3kL30WfnUPxb1uxeUraFavTMhjN39S9jlz34GERJMt1T4k+R/DTkv0HP92p4rm5gw0KcyUA9UdFknnyRsU9waLzsdjU9SL/4MUn2tcZovzKTcwDfDDzkeRk26cLJQeMdyktGgVT560pZLz+FnqDgDPlV26hsLdF4SzdkbRuG4omLrFaGbXpYwFUl25hEeiDua8HmJvh2K8zxfuMd2ysmtTFa8kkkscvRpd796HKBjj9wx7W9p3H2r7zuBF9hhZDq/jwh+zryotUrAx7lY8jpvJxxFSSz9zi68GL2NBlJvG7z9JQ7kOfpG0DZF28g6WbI2Z21hVjgowqY4IMgzGBd7+25MhjgiODFhPdegrRracQ9+Uubq3aWjExBPAd3KHiSOmhH3ezvO8slvedxaXoU7SV/XZgWP37+u3+05/B2t6G3xZ/Z/Tct2kgo5a9wgdPL2RJrxks7zuLhF1naSD7DveW95eRpliFu2x/DYZFkBB9lrwbKfwQOpEN7d9gQ/s3KEnP4/feC0g5cAmn+t70+nYaB6avw6tTU1KizxnRTI0+R13Zbv37tSHziLQokRJ9joCB7VBYmGHr54Z9kCe58n1QgIBB1Y+U2gcZnfAaiLRZ85/H//SdQ1EUtUi7rLuB68AvoiheFQRhsSAIA2qLb0F8wkde7luQtBO4XRTFZvLv7+Tfv917B7wCfA+UAH8Bz4miGGj4KQtBEMKQVh36Ix0jfReQ90FYIIrin4IgvI4kzDT53iHyt0FCRVEcYVCfXUi7kOHANeB5URRLBUEIBVYhTVbNgI9FUbx/jH7oWxiX/pegVHBn00GurdpK85lDybsYT2r0ORSW5rRfNQHnZgGoC0o4OmE1JUnSPYf+Jz/G3M4ahYUZmrulxIxcQeHtyoGqrW8dOv8ww/hTFt3CqPeOFMI/fWMMSR//TuCsZyi6GEfu7jPYhwbT7NuZmDnZoi/ToM4q4LScP3TrYmzq+aC0tUKbX8SNNz4n/8BFSlHi1i2UJu+MBqWClI0xxH28hfqznubuxTtk7T6LwtKcFmsm4tA8EE1BMefHr0Ilr/S7dGhCwwUjOd63MtKkhZsjrX6chcLSDEGhoOTYZRIXfgM6PY5dWxLw9osISgXZm/aRtmozPjNHUHIxjoLo09i2qEeDr2ejlHnQZOdzOWoqdq0aEvTuq4h6EUEhkPHVdrI37qsoUxvVjhA5pH7ixgPc/GQrjWcNo+DCHdJlXbRa8xpOsi5OjV9NaVIWfsMiaPj6ACm6p17k+od/kC4f6+285S0sXOzQa3TsXLqBxKPGk/se74ymbpcQNCo1O2asI+OyFLZ67I6lfNt3PgCRc0fQZGAH7D2cKMos4NKmAxz5+Hc8Q+oyZN1UrBxt0JVrKM6+S/yi9TSRP8eRsvEAsR9vocGsYRRcjK/QQ+ia1yr0cG786go9+AyNIHjyQEAka+8FbryzASsvF7pd+JTiW6no1NKq990ftpO7aQ8ADlHh+CyUorPm/ryPzDW/4jltFKWXYynccwqbkHoEfTkXpaMdYrkaTXYBN7q/LkXhWzoeuzZNEYGiA+dIfUe6zrtZYVvNSPotHkODLi1Qq8r5feYXpMlymrhjGZ/2nQdArzkjCRnYAXsPZ4oy8zn78wH2f7yZHrOeoVH3cPQ6HaqCYv5c8C2RHq40kNtr+sYDJHz8B3VnPU3hxTvkyHJqsmYS9rKcroz/hLLELKz83AjdNA/0IuUZeVx/Yy1lKZW7Kh1OreLCqBW02vp6NR7uh5kLV3D6/CUKCgpxdXHitZeeZ2j/Bx99ndVq3t++H7p4LI26hKJWlbNp5lqSL98BYMaOFbzfdw6Oni4sOvEZmbGpaGXdHv5+Nyd/jqmgsbB95RFis9C2WL8gfd5AfWAn5VvWYzVsLNr4m2jPGk8e7N78CNX6z9HduYXl4OewGjAKfUalbypePhOxsIA9B7zx7NqCUNnu4jcd5MYnW2kq+8B7dtdmdaUPPPGq5AMbTx1Eo9f7U3ynso6HRqygPLeQui90o/7LvdBrdBSk5lCaW4hP+8ZoVWr2T19H9iWp/QzftZRfekt25hYSRNcPx0mh3GMucvhNacLc7eNXqdM0AESRwpQcDs75htKsAsInD6TlxP7cjc/E2Vk6zlj21WIUvsFY9n8RFAo0p/ehidmMRY8R6FLi0F0/jUXvZ1E2aS0FbVEVUf7HOsTsVMzCOmP59CT0mZXxA8p/WY0+PYFff7Kh3dLR+ESGoFOpOTxtHbkyDwOil/JnT4kH15AgOn00TvocRMxFTsgLOkOPfIDS0oyyfGnXMvtcLMfnfEuLKQNpPqk/hfGZ2JtLbSB70mwsGjfAadpEBKWC4j93UvTtBhzGj0F9/SZlh47j9ulKzIProsuVdpl0GVnkTH8TLMzx/PELAPQlJeSv+BjNrTicZk3Gun1riop0HDOoe7/opWw3qHuHjyT5p8Zc5JRcd0tnOzqvfR1bH1dKUnI4+Opq1AUl1AmvR8TH4xFFKLiZwvEZX+KZK+1AKGws6XBpHeqcQgSBJ9bXAfi7V06QrDu1xnWW9CmLoj92U/DlRpwnvkD51VuUHjiB55crsKgfhC5b2v3RpmeROVna8LBu3xKXGeMQBIHya7fJXvQxaLXcvWttZEu14WMtzSt3/+wiW+GxYByCQkHBb3vI+exn3KY+h+rybYr3ncT/h6VYNQxAmyXJVpOWTfL4xQAEbnoXi7p+KGyt0OUXkTb3E0oOS5OEX7RORnz0fWcM9eS+buuMSh/+6o5lrJV9eI+5I2lu0Ned2xTDgY9/N6IzZtN8opduqPiURaclo/GPDHmitg3w3LGPsHayw8zWElEvEv9tNJff/JFG8pggQ/ZN4Wtew7FZAJqCEk7LYwJDNJoxFG1JGbFSxE2UNpb0OrOK6LZT0RapiLYy3ol9ZvFLNOnSArVKzY8zPyNJ9ttzd6xked9ZOHm6sOzEWjJiU9DIu7gHv9/FsZ/3M/mnBXg39OeuPKHMT83h+NiPiVgyGt/IELRlag5MW0eOLKOhu5eyuZckozohQUR9KPmO5AMXObqg+oLhqOMf8XvfNynLL6bPT7Pw7dQMUaejPL8YVUY+afsvkmswdu2w6lVcmgVSXlDM0QlrKJbHrk0nDyB4RBdEnZ6zb/1ImnwHWmltyeDTH7O1/TQ0RZVBaDp9ORn/p9pcRTopmAi8ivHxyP8k8gZ3qdVJkssfB4XapP9P8a9NDv+nIQjCduAjURT3yb8DMZisPi42ej9bq4L00qkfnOgxUIqyVukDuCprlweAVL1VrdK/ZVn7m+3Ny3S1Xoa3Ze1+ArSmyeGTRpSqduXU+eryByd6TDxocvgkYDg5rA3sOeBdq/QBss1qv/98YVTt2sSvP9X+15W6e6c/ONFjIibt74J3Pz78tTXf8XqiZbg//O7ZP0HVyWFtwHByWFuoOjl80nDX175de2tqP0ZA1cnhk0YLrUWt0gew+xdCKTyb9tN/ciL0d8gbWMuTw63/zcnhf+1Y6ROHIAhOgiDcAlT3JoYmmGCCCSaYYIIJJphgggkmGOPfDkjzr0MUxQKkIDZVnycgRfgxwQQTTDDBBBNMMMEEE0yogPjfDE5f6/g/v3NoggkmmGCCCSaYYIIJJphgwoPxf37n0AQTTDDBBBNMMMEEE0ww4ZHw/+nOoWly+ITgqKvd4BiZitq9kKwVav9O7ICcw7VexkTvTrVKP1RT+5vtf1rXfqABS2o3cE+3f+ETgXfMzWuV/vZ/IVjMyjPLar2MN1rNrVX6zwmqByd6TNiqaz8gw5cbazdgTICu9kcZWzNqN1gMgF8t83HZwvLBiR4TqbnuD070GMj6F0ZWT1lU/27lk0an4trti65Y1q4PB/A3L6n1Mj45ubJW6f8eurhW6QP8C7GBTPhfBNPk0AQTTDDBBBNMMMEEE0wwwQCmO4cmmGCCCSaYYIIJJphgggkm/H8L086hCSaYYIIJJphgggkmmGCCIf4/3Tn8XzE5FAQhAWgliuJ9D9k/TJpaRO/ORz9EUCpIXr+fO6v/NHqpsDAjZM1EHEOC0OQXc37cJ6iSswGwb+JPs/dexszOGkSRo73moy/X4DWwPcFTByEoFGTtOU/K8euELX4eQangzoYD3FizrVoZbVdNwDkkEHV+McfGr6Y0JQcLZzs6fDkFl9C6JPx8iHPzv6/I4z+oPY0nDwRRpDSzgLhNB2gx62kEhYLYjQe4VkMZHVa9ikvzIMrzizjy6hpKUiRxN53Un+CRkYh6PWcW/ED6wcvYeLvQ/pNXsXZzRBRFXv9iHavXfG1E86MPF9Ond1dKVSpeeukNzl+4Uk245ubmrPpkCV26dECv1/PmW+/yxx878PPz5tuvP8HRyQGlUsH8+cvhksYo75CFo2kSFYZGVc76GZ+TcjXBmLaVBWM/m0qdAA/0Oj1X951j27sbAQhu04jBb43Gu5E/37++ios7T1bka7v4eXy7hqJVlXPkjXXkXjGmC+DaPJBOH41HaWVByv4LnHzrRwAC+7UhdNoQnOp7s+2pheReipfka66kw7sv0bNFIHpRzy9vf8utE9d4ZuFYmkW1RK0q57sZn5J8Nb4aD+M/m46bzMOlfWf54931RmnCerfl1bUzWNZ/NomX71Sr69CFY2gSFYa6Qk7Vy3jxszcq5HRl31kDOTVmSIWcPuHCzpO4R4XQ/J0XQKkgaX0Mt2toSy1XT6iwidPjV6FKzsHarw7dDr1PcVwaAHlnY7k0+xujvG2+n45tgDs/d59L+8XP4yfr4eB99FCneSBdZD0k77/AcVkP4TOGEdCrJehFVDmFHJz2BaWZBYS8+hT1BnegryCiUCrxqOfDmy1fofSu8d2VwQtH01huWxvv07bGfDYV1wAPRLltbZdl9k+wYNmHHDp6ChdnJ7b8tPYf0xm2cAxNZV3/eB9dvyTrWtTpubzvLH/K9e760lO0H9EVvVZHcV4hP81aC/HGH153jAwj8J0XJd+1cS9pa/4wem/ftgmBi1/EpnEAtyd8SN5fx43eK+2sCTmwivzdJ0mY/xUAdaJa0GTJ6Ef2sd5DO1L3tf6VZTfx50j3uZTcSafll1OxCZR4zNpzjpvv/Urk288TFBWKRlVO9PR1ZNXQntybB9Lrg/GYWVkQH3OBAwul9uTWxJ9uy15EaWmOqNOxb/53ZF68Q90eLekwYxjmOj1KG0uUFuboNVoS1sdwqwa7aLV6Ak4hQajzizk1fhWlyTk4hwUT9t5LUiJB4Mb7m0nbeQaAeuP6EPhsFKIoknkzhbKCYvy7hKBVlbNv2jqya+DBrXkg3T+UbCJx/wUOyzy0eWMITUZFosotAuDEu7+QGHMRhZmSritfxq15INZ21iitLdAUltaKbUcEupNy9BoBsl3vfQAPZjIPh2QeAELG9CBkdA/0Oj0J+y9wbNkmAruG0nPNa5hZmqMpLOXGul1cNaj74/ZvsT/FcPPr3QD0/XQSznW9sPN0xtLBFlGn4+chix+pPd2jAWDpYEN5YSnr+8yn0aAOhI9/CgeFdB/QsmEQWUs+w/n5QaBQcPe3XeR/9YtRGU6jh+A4rBfo9OjyCshY8BHatKxK3m1tCNj+BSX7jpO15LOK5y5RLWiwZAyCUkHa+v0krt5qRFewMKPpmonYh9RFk1/ElXGfUJacjWCupNF743AIrYuoF7m14DsKjl2T+B3YnsCpgxEUChxjLnB0+c90eft5AqMkfUdPr1nf7s0D6SHLKSHmAgdlOfWpQU4b+syvyGfuXYcm+9eQ/tEmym4m4rvoFVAqyN24h8zPNhuVYde2Cb4LX8a6cSDxE9+nYMcx6Xn75vgufLEinVWwL/GT3ufu7pNUxZGTZ1mx6it0eh1Dn+rJy88NM3qflpHFmytWkVdwF0cHe1YsmIanex0APvj8Ww4dP4NeL9K+dShzJ7+CIAh4RoU80fGfma0VXbe8hZmdFTZeLijMlOScvc3eQYur0W23agIuzQMpzy/m2KurK2yiyaQB1B3ZBVGv5+yCH8g4eBmABi/1IvjZKARBIG59DDe/2mVI8nVgIqAD/gJmVROgCf8JmI6VPiQEQVDe55US+PT0qBUc6jQd78EdsWvgY5TAd1QU2oJiDrabSvwXf9HwzVESTaWCFp9O5MrMrzjcZSYnBi9Gr9Fi7mxHo7ee5dSwJRzuMhNLD0fafDiOQ8+uZFeXWQQMao9DlTLqjoxEfbeEHR2mc3PdTlosGAmArkzDlZW/cnHxBmN+lArC3nmemGFL2N1tLgU3kmjz7ovEPLuS7ZGzCBzYDof63kZ5gkdGoi4o4c+O07nx5S7CFowAwKG+NwED27E9ajb7R62k9fIxCAoBvVbPucUb2B45m939FjFhwhgaN65fQa9P767UrxdEoyYRTJgwm0/XLK9RwPPmTiY7O5cmTTvRPCSSQ4eOy8+n8Otv22jdphfPPvcaq1cZB/doEhmKW5AXSyKnsmnelzy99OUa6e//cjvLuk3nvafmEBTekMaRoQDkp+WyYcbnnN161FifXVvgEOTJ5ojpHJv9Ne2Xj6mRbvvlYzk66ys2R0zHIcgTn6gQie6NFPa/8gkZJ24apW8wKgqAxb2n88lz7zBs/miaR7XEPciLNyNf56d5X/Ds0ldqLCv6yz9Z2G0qS56aRXB4Q5rKPABY2lrRbWxf7py/VWNeSU6evBM5hZ/nfcnwpS/dV05Lu01j5VOzqWskpxzWz/isQk6CQiBk+ViOj1rJ/s4z8RncAfsq7dV/lNSW9rWfRtwXO2kqt1eAksRMDnSfx4Hu86oNHr36tkZXIkW78evaAscgT36JmM6R2V8TcR89dFw+lsOzvuKXiOk4BnniK+vh0tq/+L3HPH7vNZ+kfedpOXVw5fNe83m/7xz+WrmRuJPXqk0MG8tta1nkVH6Z9yXD7tO2Yr7czopu03lfbluNDPTyqBjUtwdrP1zyj/NDpa7fjpzCxnlfMuI+ut735XaWdJvGClnXTeR6J19LYGX/uSzvM4vzO08yaO6zxhkVCoKWvcKNZ5dwMXIKrgM7YV3f1yiJOjWbuKmryfmj5gBVvrNGUnTyqhHNpite5J/42LTNRznSbQ5Hus3h4qRPKU3KpuhqIgB3Pt/OoYjpHOk+B+fWDWk7eRBOgZ5823k6e+d8TdelY2qsX7elY9kz+yu+7Twdp0BPAiOl9tRp3khOfPw76/vM59gHm+k0T2rTyUev8lOveezvOR+lpQV6jY49nWfiW4NdBMp2Ed1+GrFf7KSZbBeFN5KJ6bWA/d3ncWzku4S+9xKCUoGVpzPBL/dif6/57Iucja2nM95tGvJTp+nEzP6aLstq5iFy2Vj2z/qKnzpNxynIE3+ZB4CLX+3i597z+bn3fBJjLgJQr18bFJZmbOo1D1GnR1+u4fiod2vFts1trXAK8uTHTtPZP/trIu/DQ5TMw48yDwEyDz7tG1O3Zzgbes1jQ/c5nP9iB4JCoNv7r5B28gZrG72MKruQ+mN7YOtbp4Le4/ZvDcZ0r+gzd0xcw9GVv5B5KZ4L3+7m2u9HHrk97Zi4hvV95rO+z3xid54mdtdpAG5sOcb6PvNJGjKRjNnvoUnJwHnMEFLHLSCh/zgcnorEItjfqIzy67EkPT2ZxEETKIo+gtsMY7t3nfwCqjNVFmYVChqueJELo5ZzotM0PAZ3xLaKrr1HdUVTUMLxdlNI/mIH9WS783muGwAnI2dyfvgS6i96HgQBM2c76r/1HOeHvcPJLjOwcXOi1cQBOAV68n3n6ez7G7uLWjqWfbO/4ntZTvf0vXPiGjb0mc+GKnK6B9+3XqIw5hwIAn5LxhP7wttc7zoJ54GdsKrvZ5RWnZpD4rRPyNtyyOh58fHL3Oj9Bjd6v8HtEW+iLyun8OD5anXU6XQs+egLPn9vIX/+8Ck79h0iLiHJKM37n33DgF5R/PHdaiaMfoaP1/0AwPnL1zl/+Tq/f7uKLd+v5uqN25yWF8vDl415ouM/bUkZe3rNRwB2dp5J/rVErNyccKhfA92CErZ3nM7NLyvpOtT3wX9gO3ZEzebAqJW0Wj4WQSHg2NCX4GejiH7qLXZ2n4t3jzDsAj0AcO/QBGAg0AJoCrxfTYD/QYj62v37r6LWJoeCIAQKgnBDEITvBEG4JQjCekEQuguCcFQQhNuCILQRBMFFEIQtgiBcEgThhCAIIXJeV0EQogVBuCoIwleAYED3OUEQTgmCcEEQhC+qTtoEQVgsCMJUg99LBUGYIv8/UxCE03J5bxuk2SIIwlm5vHEGz4sFQfhAEISLQPv7sNoGiFUlZiFqdKRvOYZH71ZGCTx6tyLlF8nZZGw7SZ2IpgDUiQyh6FoSRdck56HJLwa9iE2AOyXxGajl1dvSpGxEnY6SpGz0Gh1JW0/g0yvcqAzv3uEkyGWkbD+FRyepDJ2qnJxTt9CVGe+oIQiSs7aRolbaB3igyiygWC4jcesJ/KqU4durJXd+lQZ0SdtP4SHz4dcrnMStJ9CrtZQkZ1OUkIlrWDBlWQXkX04AJGd048ZtfLw9K+j179+LH9f/BsDJU+dwdHLE07N6FLkxo0ew4t3VAIiiSG5uvvw/ODjYAeDo4EB6eqZRvmY9W3H6d0kmiedjsba3wcHNySiNpkxN7HFpRVOn0ZFyNR4nTxcA8lKySbuRhCiKRnn8e4UT+9sRALLPxWHhaIu1uzFda3cnzO2tyT4XB0Dsb0cIkNvF3dg0CuOMd1sAnBr4kH5UGhQX5RaiKiyh4zNdOfH7QQDiz9/G2t62Rh5uHb8q86Al6Wo8zp6uFe8HTh/BrrVb0ZRXaQMymvdszSlZTgl/U8btijJ0JNcoJ8nTBYTWoyQ+k9IkySZStxzHs0pb8urViuRfpLaUtv0kdSKa1Vg3QyhtLAke35dbH2+RyukZzm1ZD1nn4rBwqFkPFnbWZMl6uP3bEQJ7SXrQFFdG2TSztqymZ4CwAR059+exas8ft239E7QKbY6jg/0/zg8Q8pi6vn38KpoydUV+J4N2BmAXVo+yhHTKkzIRNVpytx7BuVcbozTlKdmUXk8EffWe0bZ5XczdnLh78KIRzdL4DP6JjzWE1+COpG+RdKlXqck7KulG1Oi4ezke/05Nub5Zak8Z5+OwdLDFtkp7spXbU8Z5qT1d33yEYLk9iaKIhb01AJb2NpRkSn5KU1oOgEtYPcoy8tFrtIgaHSlbjuNVg10kyXaRuv0kbrJd6FRqRDlKqMLKHAyaqqBUorSyQFAqcPCpQ8I+adCaKfNgU4UHG5mHTJmHG5uPULeXsTyrQhTB3NoSj/D6lCZno1Op0eQX14ptW9hZV+jhYXm4bsBD8+e7c/azbejV0s6aKrcQj9BgSnPuggiiXiRl1xmUFmZGPuBx+7e7sWnYeFXad3DPcK5vPkKDfm05u/avR25PhmjQry03tx6v9tz+qUhUZ6+gSUpHk5IBGi2FOw5i29V4uKI6dQmxTGqHZRdvYOZROSm2bFIPZR0nSo+eM8pjFdIQVXwmZbLdZW45Rp3erY3SuPVuRfovUv+Ute0EzrKubRv4kn9EmthocgrRFpbgEFoX6wAPSuPT0chjm+QjV2g0uEM1u7ufvh8kp/r92nLLQE51e4ajTs6k7FYSFt51KE/IQC37pvw/D+PY09g3qVOyUN1I/NtRu1PfDhTGnEOU/aAhLl+/jb+PF37enpibm9OnWyf2HzHeXYxLSKZNS2li26ZlCDHye0EQUKs1aLRa1BotGq0OV2cnBHMrihIyn+z4D3AJC6YoIRPBTImViwN3Nh7At9qYL5z4XyW6ydtP4SnbhG+vcJIMbKI4IROXsGAc6nuTez6uwl9lHb+OX1+pzdR/oRvACqBcJp+FCf9Z1PbOYT3gA6CR/DcKiABmAPOAt4HzoiiGyL9/kPMtBI6IotgU+APwBxAEoTHwDNBRFMVQpK3pKkvXfAO8IKdXACOAnwRB6AnUR5rMhQLhgiB0lvO8KIpiONAKmCwIwr0Rjy1wUhTFFqIoHrkPjz5A8r0fqrQ8LKsMAK28XChLzQVA1OnRFKkwd7HHNtgLRGi9aS4d9yyn7kTp+FNJfCa2wV5Y+7khKBW4RbXAcNxamp6HtaezURk2ns6UpuVVllFYioWL3X2qDKJWx9nZ39J7/woGXFiDQz1vcs7FGpfhVb2MkiplWLrYYe1V+fx+9bP1rUNoi2acPFW52ubj7UlKclrF79SUdKPJI4CjowMAixfN4tTJXWza+AXu8hGMxe98wKhRQ0i4c4Ztf/7AlKkLjPI6ebhQkJZb8ftuRh6OfzM4t3awoWm3ltw6Wv1oa3U5VNItSc/DpiZ9pBvLpGqaqsi7loRfz5YolApcfd3xb14XF+865BmUVZCRi/MDeAjpFs6No9IRD7+mQTh7uXIl5tx98zh6OBvJqSAj94FyatYt/L5ycvJwQWVAT5Weh5VXVZtwrkgj6vRoi0qxcJEmPjb+bnTZs4yOf7yJS9uGFXkaz36auLV/oVVJfYutpzPFVfRgW7XdeTpTYqCHqmlazXqakac+od7gDpx93/iIkbmVBY26tODSzupHhxyrtK2CB7QtK7lt3X5A26ptOHk4k19F1383YbV2sKF5t3Bu1lDv9sOjuHbggtEzC09X1Ab01em5WHg95IRYEAhYOIakxd8bPbbwdKXMsD09go81hNfA9qT9YXwKAMDMwQaPni3Ra/UUpVeWU5yRh12V9mTn6UxxRl6NaQ6+/ROd5o3k5ROf0HnBSI68+3NFuuBerWj71RQcmwVw7o11Eh/peVg/wC40BnbhHBZM94Mr6R7zLhdmfY2o01OWkc/tz/+iz9nV9L30GYKZgsT9lRPr4vT78GBgE1XTNB/dgxHRy+j6/itYOkqf94j76xQaVTn9v5+Ba7uGxH7+F5qCklqxbYWZ0siuH4YHQ7t2quuJd5uGPP3nIob8Oh/3FnWx9XQm61I8GlU5L51dQ5PXnqLgRgrqgsoTAY/bv7k0CyBHXoS6V0crJ1tKc+5SkJD5yO3pHnzaNKygURX2fTpTfjMebUZ2xTNtZg7mHq7V0t6D49BelByWjiQjCLjNHkfOyq+qpTNzN7a78rRcLKvUzdLLhfJUY12bu9hTdC2ROr1aSbvb/m7Yh9TF0tsVVXwGNsHeWMljm+Ce4Vg521P8GHZ3D95V5GRuY0mrCf1I/2gTAEp7G9RplbeONOm5mHveX073g8uATuRtPVTju6yc3IojogAebnXIys41StOwXhB75dNPew8dp6RURcHdQkKbNaJ1WHOiBo8havBoOrYJIzjQDxRmqFIraTyJ8R+AtacLqtRc/Ae2J+nPEzWO+ayr0FXLdK29nClNM66TjacLd2+k4NamIRbOdiitLfDuGoqNt+Qf7IO9ADoBJ4GDgPFKw38Upp3D2kG8KIqXRWlL4SqwT5SW5y8DgUgTxR8BRFHcD7gKguAAdAZ+kp//BeTL9LoB4cBpQRAuyL/rGhYoimICkCsIQhjQE2nymSv/3xM4D5xDmqzeO+M4Wd4dPAH4GTzXAcYjxicIQanEuW1DLry2huMDFuLRtzWunZqhvVvC1dlfE7ZuCu3+XIQ6pxBq2NV4rLLNlNQb3Y3dPebxZ+gkilNycG7i/+CM/wBmNpZ0+moK02YspKio+NHyminx8/Pm2IkztGnbmxMnzrLy3bcAGPHMIH744VcC67ai/4AX+O67VQj/8HuNCqWCF1ZN5tB3u8hN/p9Z0Lq96SCl6XnM2/YuwxeOIe7sTR5F6wqlgpdXTSXmux3kJGchCAJPvzma35b+8ODMj1DG6FqUU3lmAdHhkznYYx5XFv5Eq88mYWZnjUPTAGwCPUiX71k9KZxZ+Ssb20wh9o9jNBnbw+hd0+7hJJy5We1I6aPiv9C2/gkUSgVjVk3mQA31bj0oAv+QYPat+/M+uR8dHmN6k7//HOr03AcnfkQ4tqyHXlVO8Y0Uo+eCUkHo2skkfLULbQ07AY+CkOe7cXDxer5qN4WDi9fT873KI+Bxu89w8c0fyDp0mSazn/5H9PPPx7G3yyxiei+gweSBKCzNMXe0xat3OLvaTGFHi4kICgV+nZv/Yx4u/7iXHyOmsanXfEqzCuj4prT26h5aF1GnJ2b216RuPUG9V/ti4/9o3wr8t2xbYabA0smOXwcs4ujSjfT+bBIA1i72iDo937R6nbOLNuDSLAA7f7fHLu9e/3b2rZ/QFht/89M/oik3atjxexQ0HNi+RhpWIQ0Ry8rRpmfXkKtm2PfvimWz+uR/LZ3YcRrZj5JDp9BmPtlQDekbYihPz6V19HIavDOau6dvIer1aO+WcHP2VzRbN4XwP9+mMCXniY1tGg5sb7S72vaNIZz/ehf60if30V0zd2esGgXUeKT0YTHjtbGcuXCFYS9N4cyFq3i4uaJQKEhKSeNOYgr7fvuG/Zu/5dS5S5y9ePXBBB8T/oPak7Sl+umYf4LC2DSuf7aNqI1ziFw/m/yriRUnHgSlAsAFaAfMBH7B4FSgCf8t1HZAmnKD//UGv/Vy2TWfc7s/BOB7URQf9FXnr4AxgCfSTuK9vMtFUfzCiKAgRALdgfaiKJYKgnAAKr4QXiaK4n2/bi8Iwrhu3bq9sWjRIu+dqjj6WAdj7e1CucEKF0BZeh5WPq6UpechKBWY21ujySuiLD2XvOPX0eRJRyyy917AoXkguYevkBV9jqxoaben4YKR2DauPBtv4+WCKiPfqIzSjHxsvF1Q3SvDwQZ13v0nYs5NAwAoSZQGfanRZwmZWXlx2sbLBVV69TJsq5RRnleMKl16XlP9BDMlnb6aQsLvx9iyZScTXh3NSy9JA44zZy7g61d5r9HH14vUtAyjMnNz8ykpKeWPP3YA8Nvm7YwdK90FGTt2BE/1ew6AEyfPYmVpSdfx/Wk5oAMASRfjcPKuXBl09HThbhXd3MMzy18hOz6dg9/srPF94y4t6Pn6YKxFgZwLd7A1oGvr5UJpTfrwMpZJ1TRVIer0nFq0HqsXI4kY2R33QE+uHDiPi7cr99ajnTxdyb8PD88tH09WfDr7vpFkZWlnjU8DP6ZtWiTx7+bEa1/N5rOX36V+aAPaj5TuhVSVk5On633lNGL5OLLjMzggl1ETCjLzsDagZ+3lQll6VZvIx9q70ibM7G1Qy3agV0vt9u6leEoSM7EL9sQpNBjnFnXpc/0LzOyspaN0znbYebtybz3d1suFkioyLsnIx9ZADzWlAYj94xi9f5jBuQ9+r3gW1r+90ZHSjs/3pP3IrveR2f3b1nC5bR26T9uqbXR+vicdZF0nXozDuYquC+5T75H30XXDjs3pNWkIHz+zCK3a+CPZ6oxcLAzoW3i5ok6vmX5V2Ic3xL5tYzxH90Zha4VgboaupIz83aeM6vwoPvYevAd1IO2P6gOgdn8uwjbIEysPJxIvx2PvVVmOnacLxVXaSnFGPnYGu5aGaZoM7VQRTOTW9pN0f9f4HmpZej4KMzNsA9yxcLHH2kvypVXTWHu7VvpYA7u4h6LbaWhLynBo5IutvztKS3Mifpa6xPy4dDxb1qusn9d9eDCwCcM0qpzCiudXN8TQ77vpADQY1IGkA5coTs3F0sWB3NO3cAoNemK2Xad9Y/on/SD10goFUSteYkO32Q/Ng6FdF6fnE7dTuneWeeEOiCKa0nLqNPHn+Mpf0Wt1WNhbU5SQiUuLuhQnSZOrx+3fkneeocGY7gQ/G4UWyLwcT/2+bYiRA2A9ansCaUBdr3drNjz1JlVh37cLRX8dQJuVi5ln5STXzKMOmszqCyw27cNwGT+ClBdmImqkoZdVaGOsw5vhNLI/ChsrMDdDX6oi58Nv0WblGvVzlt6ulFepf3l6HpY+rpQb6Pqe3d1+q3JRMnz7YlTyVYqc6HNY+dTB+7lu1O/XltLcQuwew+4M5bTRQE6eYfWo37cNlnOHo3SwBYWAxsBvmHu5osl4tIUo534dubvrBGhrHha613ElI6tyop2ZnYO7m2u1NJ8snQdAaamKvYeO4WBvx2/bo2nRtAE2NtLR9Ii24Vy8eoNWrcKx9qmk8STGfwCqjDwcGvigUCrIv5SAR5eQamM+VRW6FjJdVXo+Nt7GdSqVZXtn40HubJSOGofMGV5xgkqVnodTI7/fkQ7Fn0KaB9QBHn51438A/+XdvdrE/3RAmsPIx0LlSVqOKIqFwCGkI6gIgtAHuLfXvQ8YJgiCu/zORRCEgBro/gH0Rtq23i0/2w28KAiCnZzXR6bjCOTLE8NGSKsaDwVRFNft3bu3eURERO6Qhu0QzJV4DepA5u6zRumydp/Fd7h0gtWzf1tyj0irQdkxl7Bv7I/CWrov4tKhMcW3UgGwqCMdpzRztMUtqgUKpRJbPzcU5kr8B7YjtUoZabvPESiX4duvDZlH/n7FqVR2DJau0nEfa09XFOZmFWUEDGxHSrTxUcTU6HPUfboTAP792pB5RLqzkxJ9joCB7VBYSPntgzzJle8GtPvgZQpvp3FjnTQw/nzt97Rq3ZNWrXvy55+7ef5ZaULatk1LCu8WkpFRfWdl+197iOwiTfi6RkVw/fptAJKTUukaFQFAo0b1sLKyZN/aP3mv7xze6zuHy9FnaD1EkklAWD3KikopzC6oRr/v9OFY29vwx+L777BdP3iR9/rO4c+e80nafZZ6w6Ry3VoGoy4sRZVlTFeVVYCmSIVby2AA6g2LIKmKzqpCaWWBmbUlB37czeZlP5J0+Q7Hfj1AuyFdAAgKq4/qPjwMnD4Ca3sbfln8XcWzsqJSprd8ifkRE5kfMZE752/z2cvvknj5Dod/jGZl39ms7DubS9GnaSPLKTCs/n3l9NT0Z7Cyt+H3Ksf+qiLpYhy2dT2x8XdDMFfiM6g9GdHGvGdEn8VvuNSWvPu1JUe+a2nhag8KaTHRxt8d2yBPShKzSPh+L7tDJ7Kz8Xj2dphG0a0UDs/8mvqyHtxbBqMuqlkP6mIV7rIe6g+LIFGui0OQR0W6wF4tKTC4B2pub01w2yZc2VO5m3H0x2je7zuH9/vO4UqVtnU/vfSZPhwrexu2/E3bqm0c+jGaFX1ns6IGXd+v3v2mP4O1vQ2bq+jat2kgI5a9zBcvr6Q4t7BavuILsVgFeWHp545gbobrwAjyo09XS1cTYid9zPnW4znf9lWSFn9Pzm8HSF72E8UXYrGt64m13J4exccCIAh4DWhHWpXV8QZzhlOekc/epuM50m0OcbvP0nio1J48w6T2VFKlPZXI7ckzTGpPjYdGECe3p+LMfHzbNQbAr2NTChKkhS7HAKmd5V+Iw6GRrxTps6gU30HtSa9iF+nRZ/GX7cKnX1uyZbuw8Xe7t/KOtW8d7Ot5U5qcQ2lKDuYONhzsv4j93echanUVx+08ZB5Kq/BQKvPgIfPQaGgE8XI9DO961e3dityb0k5rcWouvh2bknnxDrbBnri2bUhJfOYTs+0dDV5mm/8L7O0wjeL0XIpTcx6Jh8ZDI7gj1+PO7jP4SsEvcAryRGFuRvLhK5jbWBHUM1zq3wZ3wMLRlsJYg2sNT6B/u/XdXnb2kILIFKXkgF5PcUbeP2pPAP4RzciPSzM6UgmAIGDfuzNFOw5Sdvkm5gHemPl4gLkZDn27UBJzwii5ZeNg3Be9TtrERejy7lbqatZK4ru9QHz30WSv/IqirfvI+fBbAMou38SmridWst15DOpAzm7j3d2c3WfwGi71T+7925Ev253C2gKFjSUALp2bI2r1lMhjG/M6DqR8G825IYspyy/m4nd7jOyu/G/07VmDvu/JKa+KnH4b9g7fdnyDqx3Gkf31NjJW/YrCwhwL2Tc5D+jE3T2neBS4DOxM3taaA2kBNGtUn6SUNFLSMtBoNOzcd5iojm2N0uQXFKKX71t/uf43BvftDoCXuxtnLlxFq9Wh0Wo5c+EKdQP8EDVl2Ad5PtHxH0DehTs4NPAhbf/FCropVWw5NfocQU9LdP0M6KZEn8W/ik3kyTZh6SqNXW18XPHr25pEeVEuZddZgCiZdAPAAvif+LrAo0EUavfvPwqhpiAMT4SwIAQC20VRbCb//k7+/du9d0jHR79BOhpaCowTRfGSfOdvI9J9vmNIx0HDRVHMEQThGWAu0sRWA0wURfFE1U9ZCIKwFigQRXGOQZ2mAPeWc4uB54AUYAvSMdebgBOwSBTFA4IgFIui+PcHtyX0LYlL/wulgpSNMcR9vIX6s57m7sU7ZO0+i8LSnBZrJuLQPBBNQTHnx69CJe/YeQ+NIHjyQACy9p7n5jtSVKnQta9j30Sa98Z+uJmi4vLKUMabDnL9k600mzmUvIvxpEWfQ2FpTrvVE3BqFoC6oITjr66mRF4R7XfqY8zsrFFYmKG5W8rBkSsovJVK8AvdaPByL/QaHcWpOcRvPkaLmUMRlAriNh3k6qo/CZk5lNyL8aTKZXRY9SouzQIpLyjm6IQ1FauuTScPIHhEF0SdnrNv/UhazCXc2jSg55a3yL8mBXVJ0hbz5psr2Llrf4XgVn2ylF49IylVqXj55WmcPXcJgDOno2nVuicA/v4+fP/tKhydHMjJzuOlV94gOTmNxo3r88Xn72FrZ4soisydu4QG14zb87DFY2ncJRS1qpwNM9eSLH/GYeaOFbzXdw6Oni4sPvEZGbGpaNXSaurh73dz4ucY/EPq8tIX07F2tEVbrqEwu4BdUdIKfbulo/GJDEGnUnN42rqKz1EMiF7Knz2lMNquIUF0+mgcSisLUmMucmKBNEHw792KdktewMrFHnVhKXlXE4l+diV2vnXouWE2paKOgow8fpj9OXmpOYxc/BJNu4SiVqn5fuanFZ+iWLDjPZb0nYmTpwvvnviC9NiUip2cmO93cvTnSjkDTNu0iM1LfyDx8h0sq6wLPb34RRp3aYFapWb9zM8r5DRrx7us7DsbJ08XFp/4vJqcjv+8H/+QYF6uIqeEtzfSXG6vSRsPcOuTrTSaNYyCC3fIkNtSyzWv4dgsAE1BCWfGr6Y0KQuvp1rTaNbTiBotol7kxnubydxjvEhh7VeHdj/O5Ofuc+mwZDR+kSFoy9QcnLaOHFkPQ3Yv5fdekh7qhATR5cNxmFlZkHzgIsdkPXRfNxnHul6IokhxSg5H5n5bsbtb/+lOOHRtzo+vr+J+GLp4LI3ktrXJoG3N2LGC9+W2tejEZ2RWkdnJn2MqaKw8s6xG2jVh5sIVnD5/iYKCQlxdnHjtpecZ2r/XA/O90cr4oMVwWdcalZqfZn5OklzvOTveZYWs6yVVdH1Q1vWknxbg3dCvYkKZn5pDyWhjHpy6tiTg7RcRlAqyNu0jbdVmfGeOoORiHPnRp7FtUY8GX8/GzMkWfZkGTXY+l6KmGtFwGx6FbYvgik9ZKCPb0OSd0fwTH+vSoQkNF4zkeN/KXQUrLxe6XviM4lup6GUeT/6wF7emAQRGhqBVqYmesY5MuT09u3Mp6+Xw+B4hQfT8YJwcUv8iMfIOiXfrBkQueh6FUoG2XMP+Bd+RdTmBVhP60WRoBEq1FoWlOWY2Vug1WhI3HuDmJ1tpLNtFumwXrda8VuHHT8l24TcsgoavD0Cv0YJe5PqHf5C+SxqoN545FN8B7dHrdKRfTURTWo5/52ZoVWr2TV9HlszDM7uW8nNviQf3kCC6yTaRGHORQ2/KNvHxq7g1DUAURYpScoiZ8w2lWQWY21jS7YNxONf3wdrOCqWVBdoiVa3YdvhPM0k9cYOAyBA0VXgYsWspmwx46G7Aw0GZB4W5km7vj8OtqT86tY6jSzaQcuwawb1b0f2j8SgtzNEUlnDt8x2Y21k9sf4N4OLyX0jbf5EsM+j5wTgc/dyw83L5R+0JJBoZ52O59JOxL/dt15h+84eQPOINAGw7t8Zt7nhQKCj8PZq8Lzbh+vrzlF25TUnMCXy+WY5l/UC02dLkSZueTdrERUY0HQb1wKpZfaNPWZSGdaGBbHfpGw+Q8PEf1J31NIUX75Aj212TNZOwl+3uyvhPKEvMwsrPjdBN80AvUp6Rx/U31lJ277MgaydXjG0OrdrCrW0niHxnNAGy3e2ZUanvUTuXVnyWwj0kiB4fVOr7gIGceshyulxFTgCdxCK83hiBrrSMslvJ+C6SIv3m/ryPjNW/4jV9FKWXYrm75xQ2LepR98u5KB3tEMvVaLIKuN79dQAsfN1p8McKrrR5qdpR2OZnVlb8f+j4Gd5d/RU6vZ7Bfbsz/oXhrPl6PU0b1iMqoi3RB47y8Rc/IAgC4S2asuCNV7GwMJcinX64ljMXryIIAhFtWzJrkhRV9vi0rU98/Acw4MKn6NUaRJ2euE0HubZqK81luvdsov2qCTjLdI9OqKTbZPJA6o7ogqjTce6tn0iXIxt3++NNLJ3t0Wu0nH97fcWEUmGu5JnEH9YjxfxQI8Ueqa6w/xgyIyNrZ5Ikw+PAgf/kDLHWJof/k5AD0ZwDnhZF8fa/UeYOjxG1Ksgixf2+pPFkoP2Hd/UeBaNzYh6c6DEx0btTrdIP1dT+p0FPmJc/ONFjourk8EmjW1nttleALLPa5eGamfbBiR4TjzI5/KeoOjl80nhO/ai3Ax4deTqLWi/jpmXt2naAuvbPJ6WZ1/5hID9N7fKR9C/w4HLfyyJPBln/whekn7Kt/U2X5DzHWqV/xdK8VumDNDmsbRhODmsDv4cufnCix4T+X5iijExb/5+cCP0dMjrX7uTQ89B/c3L4P32s9IlDEIQmQCxS8Jt/ZWJoggkmmGCCCSaYYIIJJpjwvx3/wvrWvwtRFK9RJYKpCSaYYIIJJphgggkmmGDCw0L8N7ZU/4P4P7dzaIIJJphgggkmmGCCCSaYYMKj4//czqEJJphgggkmmGCCCSaYYMLj4P/XT1mYJodPCC7Kx/uA8oPgbV67wTHyyqwenOgxcath01ov41xO7QZCSaj9+/MMVtV+MBdPq9Japa+wqv1AVzna2g2WsLB95oMTPSZqO1gMwEdnltcq/d9Cqn+D7UlDY1b7R3te/axlrdLf+fKT+cj732Hs+Fovgk1ra/fA0VC/1FqlD6DX1W57OprkVav0ATLzHyaQ+uPhrlC7fZHiX4iH2GiSy4MTPSZmtF1Yq/SbKWt/qG6n/78XnNKEfw7T5NAEE0wwwQQTTDDBBBNMMMEA4n/4W4S1CdOdQxNMMMEEE0wwwQQTTDDBBBNMO4cmmGCCCSaYYIIJJphgggmGMN05fEgIgrAIKAYcgEOiKO59xPyRwAxRFPs9atn/NgRBGATckj+P8dBwjAwj8J0XERQKsjbuJW3NH0bv7ds2IXDxi9g0DuD2hA/J++t4xbu2yb9SeiMJgPLUHG6NqX5fyL5LS3wWvoygVJK7KZqszzcbvbdt0xSfhS9j3SiQhNff4+6OYxXvvOaMxqFrKwAyV/1MwfYjD+THJaoF9ZeMRVAqSF+/j8TVW43eO7VrTP13RmPbJICr4z8me/vJB9K07tgK19kTEJQKCn/fxd2vfzZ67/jCUOyH9EbU6dDn3SX7rQ/QpmcBEHRhJ+rbCQBo07PInFx53t8jKoTQxc8jKBXEbzjAzTXbjOgqLMxovWoCziGBqPOLOTF+NaUpObh3bkbz+SNQmJuh12i5tHgD2UcltfsNak+jyQMRRZH8rAJ2TPmM9lMHExQVilZVzs7p68i6klCNR4/mgfT+YDxmVhbEx1xg/8IfAXBr7E+PZWMxt7WiMCWbvyZ/jrpYhYNvHcbuX4k6Ix8rLxf05RrurNpC/Oo/jegKFmaErJmIQ0gQmvxiLo77BFVyNl5DOxL0Wv+KdPZN/DnWfS5FVxMRzJU0Wf4iLh2aIOr1ZH/wA3d3Su3usdrT3DE4dG2FoBAoOnyB1EVf1qhvuy4t8XnrFVAqyPt5D9mf/1atDO+3XsGqUSBJr6/k7s7KMjznjMYhqjUAmas3cdegzbZb/Dx+XSU9HHpjHbk16MG1eSCdP5L0kLz/AifekvTQesFI/LuHoddoKUzM4vC0dagLSwke3IHmrz6Fva30cXeFf12K541DcHLB+oVJoFCijvmL8j831sireZvO2L7xNkXzx6O7cwuz5uFYjRiHYGaGqNVStmEt2qvna8w7bOEYmkaFoVaV8+OMz0m5Gm9M28qClz57gzoBHog6PZf3neXPd6V6dH3pKdqP6Ipeq6M4r5CfZq0lP/XhP5S9YNmHHDp6ChdnJ7b8tPah81WFV2QILd95HkGhIG7jAa7XYIPtVk3ApXkg5fnFHHt1NSUpOVg42xGxbgouoXWJ/+UQZ+d/T8t3XsC7awu0KjVH31hHXg36dWkeSMePxqO0siB1/wVOy/q1cLKl8+eTsPNzozg5m0OvrkZ9V7pr69G+Ma3ffg6FmZKyvCKihy1FsLLDPLQPgqUNh48dZ9mKlejKVQxu24gXu4UZlfne1mOcjk0DoEytJa9YxZGlYwFoOWMd9byke05eTnZ88lLvinweUSGEvPMCglJBwvoYbtUgm1arJ+AUEoQ6v5hT41dRmlypQ2sfV3oceo/r72/m9ud/SeV9NA7PHmGU5xTCb5V3WJV1Q7Do9TwICrQXDqA5ZlyWWUgnLLqNRF+UD4D2zB60Fw4AIDi4YtnvZQQHFxChbNN7iHcr61Ebdgfg3NiPOh/NRbCxBVFP9kuvYhkWiuPUSaBUUrrtL4p/NLY7m0H9sR06CHR69CoVd9/9AG1CIoKDAy5LF2HeuBGqHbu4++GqanUEsGzXGqdpkxAUCkr+3EHRD8b07UYOw3ZgX0StDn3BXfKXvIcuQ7qP7DjxFaw6tgOg8JsfUe09UJHPMyqEMLkvurPhADdq0HVbg77omNwXWTjb0eFLyQ4Sfj7EufnfV+YxV9Jy2Rjc2zdGqdeTsGIDuX+dxDkqlLrvSH10xvp9pKzZYlSWQ7vGBC8ei22TAG68+hE5208AYNs0kHrvvoLS3gZ0epI+2UzO1krf+0/bq3NYMGHvvSQlEgRuvL+ZtJ3Sndvgl3sT+FwUgiBwYWMMF7/eTee3nydAbk97p60ju4b25NY8kO4fSu0pcf8FDsn9KUDImB6EjO6BXqcnYf8Fji3bRINBHWj56lNY1ZGOBQruvqj3/IR5eA9QKNBePIT25A6jMpTNOmIR9QyibBOac/vQXToEgHnk0yiDW4AgoIu/imbfhmp1vIchC0fTJCoMjaqc9TM+J+WqMT/mVhaM/WwqdQI80Ov0XN13jm2yHw9u04jBb43Gu5E/37++ios7pfFUewObO3gfm6vTPJAusi9M3n+B47LNhc8YRkCvlqAXUeUUcnDaF5RmFhA8uAMtXuuHIAgoFAJm1paIWt1j++2q6PTdNOz83e8rLxP+e/jHO4eiKL71JCvyH8UgYDvw8JNDhYKgZa9wfcTbqNNzabZjJfm7T6O6nVKRRJ2aTdzU1Xi9OrBadn2Zmss9pv8tfd93xhP37FtoMnJp8OcH3N17ivLbyRVJNGnZJE3/BPdxg4yyOnRthU2zYG72mYLCwpx6Py+j8MBZ9MWqvylPoOGKlzg/fAnlabm02r2c7N1nKL1VGTSgLDWHa1M+w39C//vTqcJDnfmTSB83B21GDj6bVlMacxzNnaSKJOXXYykcMQmxrBz74f1wmfYyWTOXASCWq0l9ekKNdMOWjeHwM8spTc+j2853SIs+R5FBXQNHRqK+W8KuDtPxHdiO5gtGcvLV1ajzijj6wvuUZRbg0NCXThtn81fL1xGUClq88zzRXWahzivGf+FIohY9j7WTHV93no5XWDA9lo5h/cBF1arTfelYomd/Rfr5OIZ+P5OgyBDiD1yi18qXObBkAyknb9BseGdaj3+Kox9Ik6W7iZnYWFpwpNN0ytJyab97GVm7z1JiwIPvqCg0BcUcbjcVz0HtafDmKC6O+4T0zUdJ33wUALvGfrT8bgZFVxMBCJ46GHXOXQ53eAMEAR9PRYXM/ml7sglvhG2rxtzsNRmA+ptXYNeuGcUnrlTTi8/iV4l/7k00GbnU+/NDCvecpDy2sgx1WjbJMz7G7ZXBRlnto1ph3TSYW30nI1iYE7xpOUVym/Xt2gKHIE9+jZiOW8tgOiwfw7b+1fXQcflYjsz6iuxzcfT8cSa+USGkxFwi7dBlziz/GVGnp/W8Z2gxqT+nl/1M3B/HiPvjGEM7paLwC8J2+jvokuKxf+NtSpbNRJ+bjf3StWjOHkOfmmhcmJU1lr2HoL1d6TLEoruUvD8PMT8XhW8gdnNXUjhxeLV6NokMxS3Ik7cjpxAYVp8RS1/i/UELqqXb9+V2bh+/itJcyevr36RJZCjXDlwg+VoCh/vPRVOmJuK5Hgya+yzfTvqkWv77YVDfHowaOoB577z/0HmqQlAIhC8bQ8yI5ajS8+i54x1Sd5+j8HZl+607MhJ1QQnbO07Hf2A7WiwYybFXV6Mr03DpvV9xauiHYyNfvLq2wD7Ik+0dp+MYXo+2y8ewswb9tls+luOzviLnXBzdfpyJd1QIaTGXaDaxPxlHrnHl0200m9ifZhP7c27Zz5g72NB22Rj2PbuSkrRcrFwdABBFEc21g2gLMli84me++eZbXFJOMmrJV3RpGkiwp3NFmTMHdqj4f+PhK9wwmIRbmiv5Zfqw6sJRCLRYPpYjw5ejSs8latcS0qv6p1GSbKLbT8N3YHuaLRjJqfGrK96HvP0cGfsvGpFN/PkQd76JJny1gU8UBCz6jKZs/QrEwjysXlqM9tZZxJw0o7zaaydQ7/6hWlUtB76K+shW9PFXwNwSxMpgFbVld4JSQeSqCRQsX4w2Ng7BwQH0Io4zppA7ZSa6rGzcvl5L2eFjaBMq7U4VvY/SLdJA1jKiAw6TXyNv2mxQqyn68hvM6gZhXjeouj4AFAqcZ04h+3WJvvt3n6M6fAxtfCV9za1YskZPQCwvx3bIABwnjSNvwTtYdWyLecP6ZD7/CoK5BW6ff0jZ8VOIJaUVdnDgGckOesh9UeGtKnZwt4QdHabjJ9vBcdkOrqz8FcdGfjg29DWqbuMpgyjLKWRHxAy8UWPmbAcKBcHLX+bK8MWUp+cRumsFedFnKL1VOeYoT83h5pRP8X1tgBE9vaqcm6+vpiw+AwsPZ8KiV5IfcwFdYSkoFP+4vRbeSCam1wJEnR4rdye67l9OevQ57Ot7E/hcFAf6vIleraXVpjloSspwCvLkx07T8QgLJnLZGH4dUL09RS0by/5ZX5F5Po4BP8wkIDKExAOX8GnfmLo9w9nQax56tRZr2Z5vbTnGrS3HeGmSOUIdXyyHvI55696U//w+YlEeVqPfQhd7ATG3ik1cP4Vm70/GzcSnHgqf+pR9IwXfsnx2Hgq/huiTb1arp+THvVgSOZWAsHo8vfRlPqrBj+//cjuxx6+hNFcycf2bNI4M5fqBC+Sn5bJhxudEvVK5f+LXtQWOQZ78EjEd95bBRCwfw9b72NzhWV+RdS6O3gY2d2ntX5x9XxpjNH2xJy2nDubI3G8pSspm+7AlaIpUPHt6Farsu+x56q3H8ttV4dunFdqS8mrP/7fA9J3Dv4EgCPMFQbglCMIRoKH87DtBEIbJ/68QBOGaIAiXBEF43+D9WkEQzsh5q+0UCoLQRhCE44IgnBcE4ZggCPdoKwVBeF8QhCsyzdfl5+GCIBwUBOGsIAi7BUHwkp8fEAThI7ms64IgtBYE4XdBEG4LgrDEoLznBEE4JQjCBUEQvhAEKRSXIAjFgiAsFQThoiAIJwRB8BAEoQMwAHhPTh/8MLKyC6tHWUI65UmZiBotuVuP4NyrjVGa8pRsSq8ngv7R96ttQutTnpCOOlmin7/tMI492hqlUadkUXYjAapEn7Ks70fxqavyCms5qhsJOHT5+wh9Di3rURqfQVliFqJGR9aWY7j1bm2Upiw5m5JrSdXKux8smzdEk5SGNiUDtFpKdh7ENqqDUZqy0xcRyySHUn7pOmYebg9Ftzghk5KkbESNjuStJ/DuFW6Uxrt3OIm/SCuBqdtP4d5JiqBacCWRsswCAApvpqC0skBhYQaCgCAImNlI0Vwt7Kyx93bl6mZp9yr9fByWDrbYujsZlWPr7oSFnTXp5+MAuLr5CPV6STu2zkGepJy8AUDi4Ss06FspTzMrC0rjM1DJ8s7YcgyP3q2MaHv0bkWazEPmtpO4RlSPAus1uCPpWypXgH1GRnFnlbzjK4ro8ouAx2tPiCIKS3MEczMECzMEMyWanIJqdbEJrY86sbKMgm2HcOhpXIZGLkMUjcuwqu9HiVjJ0poAAQAASURBVNxmRVU5ZTfise8i6TSgZzixv0l6yD4Xh4WDLdZV9GDt7oS5nTXZ5yQ9xP52hABZD6mHriDqJBvMOheHjVf1qHYWHbqhORaDsl4j9Blp6LPSQadFfXw/5q06VktvPfxFyrZtAk1l9GJdQixifi4A+pQEsLAEs+phb0N6tubU75JeE87fxtreFgc3Y340ZWpuH78q0dXoSL4aj5OnVO/bx6+iKVNX5HfydK1Wxt+hVWhzHB3sHylPVbiEBVfYoF6jI2nrCXyr2KBvr3Dif5X4TN5+Ck+5/epU5eScuoWuXFORLuG3wwDknIvDwvE++rW3JkfWb9xvR/CX7cWvVzhxv0r54349jJ/8vO7gDiTtPE1JmqSTstxCiVh5CWJhFleSsvBzdcDXyQoLO0d6hdXjQJWVf0PsPB9L77B6DyGbepTEZ1KaJNl2ypbjeFWRjVevViT9ItU5dftJ3CKaVb7r3YqSpGyKbqYY5ck9cQN1QbHRM4V3MPq8TMSCbNDr0F09gVkD47LuB6GONygU0sQQQFMO2sr2XFt259OlOXnXk9HGSnnEwkLMGzVAm5KGLi0dtFpUe/dj1cnY7sTSysjLCmuriomsWFaG+tIVRPX9I4lbNGmENiW1kv6e/Vh3Nu6Lys9eQCyX+iL1lWso3aW+yCwokPILlyTfVFaGJvYOVu0kX+4SFkxRFTvw+X/snXd4FOX2xz+zm02ym74ppJJGL6G3EHoJKggIFrAANkSx0lSwoSCiogI2xK5XrihFkRI6hN4SQHoI6b2Qsptsm98fM2x2UyhCvN7f3e/z5Eky8845c857znn7mXraoktyHM9cd5AmfWr5QZWxzvtG3deP04vlnSSiiKm4HI9OzahKzaUqPR/RaKJgzR608fZtdHVG/X0O/cUcqlJzJdnySjAUXkYlD648bsJezXqDtY4VriqQw7pH8xBKjl6w3s86cIa24wZwWm5P8+T2VFPLnjRye5ont6enf00kSran9g8O5sgnv2MxSBnd9Vf82QZObXpgyTiHWJqPeFnyCdPpgyibd6pTtl6IIoKTCpROoFSBQomoq8sHoN3QrhyS43jasQuoPTT1xvEL+6QJRLPRTKZNHC/OLCD7TLpdWxg+tAvnZZ/Lv4rPOburyZd97vwviUTIOjLaLAA4qV2stPOPnMdwWYd/x2gun8/G1dfzpuO2LZw0LrSafDt/frimXl058M/FNQeHgiB0Ae4DOgK3A91q3fcFRgNtRVGMAd6yuR0BdAfuAD4TBKH29xLOAH1EUewEvArMl68/Lj/bUab5oyAIKmAJMFYUxS7AV8A8G1oGURS7Ap8Ba4GngHbAREEQfAVBaA3cC/QWRbEjYAbul591A/aLotgB2AU8JoriXuA3YIYoih1FUUy5lq4AnAN9McidDgBDThHO9XQ6G4LCxZl2GxbS9vcF+AzrXue+KtAXY07NLLUxpxDVdXYCq06l4tGvM4KrM0ofD9x7tUcVfPVBl0uglmobeaqzi3AJvLnU0E4BfphyC6z/m/IKUDZpWAaPu4ahSzxk/V9wdiZkxVKCf/gIzcCahtwpwA99Vs276nOKUdvM9gOoA33QZxcDIJotGMt0OGvtU4KH3NGdkhOXsBhMiCYzR2d9zZBtC7gjaSm+zUMwVOgpz6nhU55bjHstPu6BPlTkFtdbpvBcJs2GSoG3xR098LCxD/dAHzw7RNF99av49GhFVXZxHX27BGmtcopmC6ZyPSqtfac+aGQvclZLq4hOnhoAms+6h16b36bjF8/h5OcN3Jw96Y6epWLfCdod+oZ2h76lbNcxqi9k1imnauKLMduWRxGqq9S3LfSnL8k264LSxxO3XjGogvwA0AT6WDv4ALqcYtxq1YNboA+VOTX1UJlTjKZWGYAW9/Ylc/vxuu/eqz+GvVtR+PhhKcq3XrcUFaDw8bMrq4xojqANwHRsf4PyqLr3xZx6Hkx1G1LvJj6U2MhTmltk7TDUB7WnhvaDunB2z8k693rdM4BTO5IafLaxoAnUoqtVJ+qguj6os/FBQz0+KJXT1qnf2nWnCfRBZ1O/tmXUfp7o80sB0OeXovaTO71RgTh7uTF05Wzu2PAmUWPj7GjmX9YR6OeD4BWApTSXJl5u5F+urFfe7OJysovL6d482HrNYDIz/oNfefCj1Ww7UbMt2DXIB312rfhUq22wLSOaLRjLdThrPVBqXGgxdQSn37Pf8t0QBA8fxLIavYjlxQgede1e2ao76sfm4zLmGWkLKaDQBiFW6XAZ+yyuj76FatA4EGpmzxvL77wiA0EU0X6wEL+vP8f9/vtQ+vthzqvxO3NBAUp/vzp0NHeNImDlD3g+OZnLHyypc78hKANq0c8vROnfcJvoduftVO07CIDxfAquPbsjuLig8PLEpUtHlE2krXPqQK1dW6Srpy3S1PKD+toiW6jkON5+1liGJrxFqy+mofLzwiVIS7VNfDXkFOFyA32OK3Dv1AyFyomqS9KWWZcg7V+2VwCfTtEM3rmQwdvfIWnml4hmC2VnMvDt0QpnH3eUamfCB3RA4+9FhQ2fipwG2tNa9nTF5ryjAgnu3pK7f3udu1bOJqBDVB3ZlK26Yy7IqOsT7nVt0qllF1wnzcV51JMIHpK8luwUzOlnUD/1IeqpH2BJPYlYlFOvHr2baCm1kedybjFe14jjbQd15lw9cfwK3AJ97HRUeZ0+Z1um68y7GXfwI5qNjuVIrTjiFuSDk8aFnO3SroSbidu2aD/zbs58th6z/r945VBs3J9/Kq5nW2kfYLUoijoAQRB+q3X/MlAFfCkIwjqkbZhX8LMoihbgvCAIF4FWtZ71Ar4VBKE50tzSlen0wcBnoiiaAERRLBYEoR3SYG+zIDVUSsDWO6+81wngT1EUc+T3vQiEAXFAF+CQ/LwauNIqGGze+wgw5Dr00ig42n0yxtxiXJo2oc3KN9CdTqM67dZ8b618dxKaDs1psWohpuIyKo+eAfM/+7St+/BBuLRpQfak6dZr6fEPYM4vwik0kKDlCzGcS8WUWX+gvlF4tgih/Zz72H3fAgAEJyXREwaxZcjLVKblE/32BML7tLsGlatj04wvGPjGQ/R8dhQpm49iNkoznpX5pWx++RvadW5Gxjeb6fTNdFIWXV9n0BZenZth1ldTcSbTKoM6xJeSQ+c489r3REy+neDZk0h//oObksM5PAiXZqH82fNhAKJ/nEt5tzZUHrqhI7pXRcXuY2himtNs1UJMRZfRHT3zl1bcr4YOT9+JxWwhZdUeu+vK6NZQXY0l8xLK4KZXJyIIqB98Et2nCxosogiNwHX841TOn3nT76xQKpi4+Bl2fLORoox8u3vdRsXRNCaaj+59/ab5/H/ClYZYoVTgGxPJ5nveRumq4rbfX6fg6IWaggolCr+mGP/cYbdiVh82JaUwOCYSpaJmnnX9nPtp4uVGZlEZj336O82DtIT53dw3OVvPGMOFZesx625dJ8t0/himP/eB2YRT54G43DmZqh/eBoUCZVhL9MtnI14uwuWuqTh16Ispaect4w11/U5wUtKkWwtKJz+GWFWN75L3qTpwfd+G1K1ag27VGtRDBuEx8UFK32rYD/8qNMMGo2rdgtInngeg+sBhqlq3xH/5EiwlpRhOnLrlsckWgpMCTYgvhYfOk/T6j3R7fAiRrz1E8aZD1374GlAFeNNyydOce2bpLeuxlhxLYUu/mXg0D6bL4inkbkum/Hw255b+Tu8VL2HWVZFzKg2N/835hsJJgYu3OyvvfJ0mHaMY9slUvuv9Qs39oCjJj8uLwS/kqrTMF5LQnz4g+USH/jjf8SjVKxYieAeg8A1C/4lE1+Xe6ShSm2PJPH9z765U8NDiZ9hVTxy/1Ti8cCWHF66kw1MjaDNpCEffX2W959MiFM/oIHY++O4t4+fdNhz3iACOvf4DbqF1J3Qc+GfjprOViqJoEgShOzAIGAtMBQZeuV27eK3/3wS2i6I4WhCECGDHVVgJSIO+Xg3cv9JqWmz+vvK/k/z8t6Io1vfVaaNYs4Zv5jr1IgjC40irnMzy6sgoTSSG3CKcg2tWRZyDfDHYzOZcC0Z5tak6PY+yvSdxaxdlNzg05hZZV04AVEF+GHOL6tBpCHlLV5K3dCUA4YunUZV69Q8OV+cW42Ijj0uwL9W51y9PfTDlF+IUWDM769TEH3NeXRnUPTvh/dg4aWBorFlpMedLZU2ZuVQdPo5L62aYMnMw5ReiDql5V3WQFn1uiR1NfW4J6mAt+pxiBKUClacGQ3GFtXyvr57n0DOfUZkmBWrvtuEABA7oQOT9AxDdXFC6qPAIquHjEailohafitwS3G1mC23LFKfk8MsD7wDSFtOogR0luQwmilOyUQ/vQdnxVPSX8vBoG051LfupzilGHeJLtSyDk4caY3G59X7QqFhyVtdsKTUWl2PSVZH3hzTjnfv7AcIf6C/duwl78hrWE92xc1h0VQCUbT+CW+dWdQaHxrwiVMG2PHwx1lPfDSH/45/J//hnAJr9tghN51b4jB1EelIabja2qQnSUlmrHipzS3Czme12C9KisynT/O4+NB3cifX31k38pIodgGHvNgAsJYUofGsO1Ct8/bGU2CR7cdWgCIvE/dUPARC8tLhNn0fle7MxXzyHoPXD7YW56D5ZgCW/5oxL3weHEjtuEABpySn42MjjHehLaQO+Nu7txylIzWXHV/YJFVr2bk/81Lv48N7XMcnbrP5O6HKL0dSqE31OXR/U2Pigs40PNp84hNZPDUfp6kzmxiO4BftSaENLV6t+dbkldtuBbcvoC8tQB3hLq4YB3tbto7qcEqpLjmPSV2PSV5O3/wzaNk0BEwgKQnrEk/P5F1hypfMzeZcrCfByq1fejccu8NJd9iuPTeSyob6edI0O5kxWEWF+XlTllKAOrhWfavn2lTLW+OShwVBcjrZTM0KG96DdK+OlFSSLiLnayMWvEup9L7G8xLoSCCB4aK1JNmoqomYrqunYdpwH3ic/W4wlL03akgqYzx3BqWN/nLoOlR7bdrFR/E6XU0zugbO4XZbqqWrvARRaH+tqHIDS3x9zQcNJlvRbtuE147kG79eGOb/Qnn6AH+aCgjrlXLp1xmPi/RRMed6uLSr/5kfKv/kRAO3c2ZjSpQk5fW6xXVukqact0tXyA9u2qD4Yiisw6arIXC8NBgt+30eT8YPI+WYTLjbx1TnIt06bcTUo3dW0++Fl0hb8RPnRmsFOdU4x2r9or7YoP5+NqbIKz1ahlCankvbTDpSuKiLuH0D0sG6UXsrD3YaPe1AD7Wkte7picxU5JaRskHSSl3QRRBFXrQdV8nsoW3fHdGp//T5RUcsnqmp2CJiO70Q14G6JRovOmLNTpC3WgPniCRTBzayDw7gHh9JrnNTtTU9OwdtGHq9ALZcbiOP3vv0YBak57PxqQ517TaKDadajNUOfHk1FUiruwb5c6Qm6XafP1S4DcGH1XoZ9N906ONS2DqPV+AGUnsnEUCLZ343G7frg16UZ2pgoRhz4EIVSiYu0c2MH0L/Bh/6BcJw5bBi7gFGCIKgFQfAA7LKOCILgDniJorgeeB7oYHP7bkEQFPJ5vSig9uldL+DK6GSizfXNwGRBEJxkHlr5WX9BEHrJ11SCINQ9bNUwtgJjBUEIuEJTEITwazxTDjR4CEcUxWWiKHYVRbHrKI104L0i6QKukUG4hAUgqJzwHRlHScL1zewpvdwQnKVxqZPWA/durdCfy7Aro0s+j0tkMM5hTRBUTviM6EPZ5mtnBwWkGWFvSRzXVhG4toqgfFf9WROvoPxYCpqoIFyb+iOolASMiqVw0/XN5jaE6pNnUYWH4BQSCE5OuN3Wj8od++zKOLeKxu/VZ8l9+lUsxaU1Ini6g0paYFZ4e+LasS2GlDQrXffIQDRh0ruGjexJzqYjdnRzNh0l/J6+AIQM705+onR+S+Wpoff30zkxfwVFh85Zy+tzi/FoEULG7/vZMuRlzvy2n7zki7QdI3UIgzpFU12uozK/1I5PZX4phgo9QZ2ko6ptx8RxIUF6F418pgNBoOczI0n+YSsAaq0HeSdS0UQF4tOrFZqoQLSxbcivJUP+piMEyzI0GdGDIlmGKzQD7+xpd94QoCDhKNrebQDw7dPOmnDmZuzJmFWAe4+2oFSAkxL3nu2oupBRp5wu+TzOEcGoQiUe3iP6Urb54HXxqG2zChdnzg6YzPnbnyVt4xGayVsC/TtHYyzXWbcRXoE+vxRjhR7/zlI9NBsbR5pcDyH9Y2g/ZTibJy3CXFVrhUgQcO7ZH+M+aXBoTjmDIjAEhX8gKJ1w7jUQ4xEbHesrKXt8FGXPjKPsmXGYL5yqGRhq3HCfuYCqn77AfM5+69Cu7xNYcPssFtw+i+MJh+h+l1SvEZ2aoy/XUVZgLw/A8Gn3ovbQ8Otc+6xwoW0juG/+o3z+6EIq6jl383egOOkiHpGBuIX5o1ApaTqyJ5kJ9vablXCUyLslOcOGdyfPxn7Pf7OZE+/+Svpv+8naeJiIsX0A8OscjbGsgfot1+Mn12/02DgyZH/JTDhK9N3S89F397Fez9h0hIDuLRGUCpSuzvh1ks7bAKg6DKVtmD9p6RlkFZVhNJnZdOwC/drWbSpS80oo01fTIaKJ9VqZrhqDyQxASYWepEu5RDWRtmeVJKXgHhWIRo6loaN6kVNLNzkJR2h6j/TOIcN7ULBH0s2uUXPZ1O1ZNnV7lpQvNnJ28doGB4YAluyLKLSBCN7+oFCibNsT07mjdmUEd2/r38oWXbDIyWos2RfBVQMaye8UEW0xnTpA1fLZVC2f3Wh+l7nzOD6twhBcXECpwKVTB6oPHsYpNARlkNRWqAcPpCrRPrYpQ2tWg1xie2LKuPqEpy0Mp8/gFGZDf8hA9Lvs2yJVi2b4vPgCRTPmYCmxkVOhQOEpxXJVsyhUzaKoOiC19fX5QVatOJ696SgRchwPreUHDSE74RgBsa0B8O7THt25TMqTLuAaFYRLU6nP4T+qN8XX2ecQVE60+XomeSt3WjOYXkF50oW/bK+apv4ISql7qQ71w6NZsDXrroufJxe/3sy+Ce9TfbmS5K820VpuT5t0isZQrkNXy550cnvaRG5PW4+J46L8Lhc3HSY0VmrbvCMDpa2xVwaogiBtKT19EEtOKoJPAIKXHyiUOLXujvlCrf6PW80qprJZJyzy1lGxrBhlWEsQFJI/hbW0S2ST+H0C797+Iu/e/iInEg7TTY7j4Z2aUdVAHL992j2oPTSsnls3IRRAXko2a+f/yLu3v8iljUdoLvtcQGdJR/X5nKFCT4Dsc81tfM4zsiZGRcR3pjRFksst2JfBXzzH1ieXogn0+ctxuz5c+G4raztP5fcez7Fl1BuUX8yB/7KB4f8yhNoJIOotJAizgQlI2zDTgaNIWzzXAXuQzvi5Iq3OvSeK4reCIHyDtN20K9JnL14QRXGd7acs5IHet0Al8AfwgCiKEfKgcCEwDDACX4iiuFQQhI7AYqRBpRPwoSiKXwiCsEOmebj2pzJq3bsXeAlpUGwEnhJFcb8gCBWiKLrL5ccCw0VRnCgIQm/gC6SVyLFXO3e4P/guqyK9B3Ym/I2HEZQK8ldsJXvxr4TOuI/K5BRKEg7h1qEZLb6chZO3G5YqI8aCEo4PeA73ri2JeucJRIuIoBDIWb6Ogp+kgYOrqmYVwGNAF0JefRRBqaD45y3kLV1J4Avj0R2/QNmWg6hjmhG57GWUXu6I1QaMBaWcHTIVwUVFyz+krYTmcj2Zsz9Bf0o6E1NcVfs4aA18B3Wi+ZsTEJQKsn/aTtqHq4mceQ/lySkUbjqCR8do2n89HZUsT3V+KQf71c24GhFQav1b3acbvjOlT1mUr95E6Rc/4fPUQ1T/eQ7djv0EfrEA5+aRmAukGbcrn6xw6dAG/9eeRbRYEBQKLn+/mvLVG610s2MG00FOH35pxU7OfLSWNjPGUJKcSk7CURQuKrovmYJ3u3AMpZUceGIJlekFtHpuFK2eHkHFxZpV2t33LaC6qIyohwbR7NF4LEYzRdmFbHhhGb2njSGyfwxGvYGN05eRd1zS40Mb5vHdbbMBaBITyW3vPy5/yiKZra9KjUDnh+Pp+NBgAM5vPMzuBdJnPJrf1o3e08agcVbhEqTFVFpB2lebuPjhGprNvJvLyRcp2HQEhYuKmKVP4dE+AmNpBcmTF6OXVzq1sW1oMWcc+29/xU73rqF+xCx9CpWXBkNRObkzF1nPAf5Ve0KhIPStJ6QBoihStvMo2W9+BYBCsI8rHv27ECx/yqLk5y3kf/wzTZ6/H/2J8zKP5oR//jJOXu5Yqg2YCko5N/QpBBcVzdd9KNlshY6s2Z9QJdvsIZMXvd6aQGj/GExVBna/sIxCuR5GbZrHmnipHvxiIum76HFpNWpHMvvmSPVwd+L7KJydqJZnS/OPXmDvS18DENirNfHzR1Px6lNWGZw69kD90FOgUGDYsYHqNT/iOnYSptSzmI7Yd1jdX/kA/Y+fYr54DpfRD+B653gsuTWd1oq3ZyCWlTJnn31673vmPkzrfh0w6g38MONT0k9cBODF9e+w4PZZeAdqeWv/p+ReyMJkkFYwdn67iX3/3sbUH+YQ3DLM2hEpySrk88fe5YPDdVdF68OM1xZw6NhxSkvL8NV68+QjDzJmRPw1n/slxt7WggZ2oPMbcgr/FTs5tXgt7WeMoTg5lSzZB3stnoKP7IN7pkg+CDDiwIeo3NUonJ0wXtaRf+AMvp2iMekN7H1hGUVy/Q5PmMe6oVL9+sZEEvuB5GdZ25M5KNevi487fT97GrcQXyozC9n5xBIMpdLKQNsn7iD63r6IFgsXftrB6eWbuPfn4bj0vg9LWQE7E/fy9qLFmKt1jOwSzWODO/PJxkO0CfWnf7sIAD7ddBiD0cyzw2uSKyWl5vLWL7tRCFL+pvv7tmd0D+k0xYZHD9NkUEdi5PiU9tMOzn60ltYzx1KadNEan7oufdIanw5OXoIu3X67WevpYzBVVlk/ZdHt06n4x7aWznrpyzDu+hVT0k6U0R1wHvqAlLY/aSfGPb+h6jcGS3Yq5vNHUQ24B6cWnREtZtBXUr3ha+s5KkVkO1wGj5fS9uekYvjjS7BIg94Vn9Fofhd9V296P3cbIFK99wBln3yOS68eeD37FCgV6NZtoOLbH/F4dBKGM2epTtyL53NTcenaBUwmLOXlXF60GFPqJQACfv0JhZsGnFSIFRUUPTcD06U0LOaa1QDX2B54Pf8kgkJJ5e8bKP/mRzwfn4jh9Dmqdu/Fb8m7qJpFYi6U2iJzbj5FM+aAs4om330OgKVSR+mCDzCel7oIe9KDCBrYoeZTFit2cvqjtbST/SBbruueNm3Rvidq/GD4wQ9xsvGDneMWUHYuC02oHz2WTMHZUwNFlzn33MdUZxXiM6gTUXOlT1nk/bSNjI9WET7zXsqTUihOOIx7x2jafDXT2ucwFJRytN/z+I/pQ4sPn0J3tmZS79yzH1MpJ2BSDOr+l+w1bGwcLZ++E4vRBBaR04tWk7NRmlTuu+ZVnLXuWIxmtr/5LzL3/Em/tyYQLrenW6ctI1+2p/s2zmPFMMmeAmIiGbxI8vO07cnsfEWyJ4VKyaD3Hse/bVPMBjN73voXmXul3SshPVsz8qP7qP5eSoWhiIrBedA46fMuJ3Zj2rcOVdwoLLmXMF9IQtV3LMrmHcFiRtRXYkj4DrE4FwQB1dCHUIa1kBK6pZ7EuG2FVWcvfWqf8X3s3Em07tcRg76af834jAw5js9Yv4B3b38Rr0Atc/d/YhfHd3+7if3/3k7TmCge+Xwaai83TNVGygpKWTfwJWLfmkCY7HM7bXzurk3zWGXjc/1kHWXsSGav7HODlz2DV1QQoihSkVlI4ktfo8stoc+7jxJ5WzcqsgpxdneVz3CX3HTc3j5ugV2mU7dQP/p+Nx3vVmH/dctwlzoOadSTgRFJm/+ROrmuweFfIiwNDteJovjLtcr+f4Dt4LAxYDs4bAxcbXB4q2A7OGwsHC28dlbTm8ElVeP7cbvqxt8OGOiqu3ahm0DtwWFj4JDp5s6qXAtj+lz/CsRfRe3BYWPgegeHfxW1B4eNAaPQ+H539+dXz9x8s9jw6M3tuLgexE+9rgTkN4UVf/0TmNeF25o2vt/ZDg4bA3vSgxqVPkCw2PhJPgpwblT6WarGt9dHptbNDH2rUXtweKvRznTTJ8CuCffrzDZ/MxiX/eM/ciB0NfyvDg4b3+IccMABBxxwwAEHHHDAAQf+i/BPzijamGi0waEoihMbi7YDDjjggAMOOOCAAw444IADtxaOlUMHHHDAAQcccMABBxxwwAEb/K9mK3UMDh1wwAEHHHDAAQcccMABB2wgiv+bg8NGS0jzv4ZvQh5oVEWGmYzXLnQTqBCUjUof4Lxz4x8+92q8bxADoPp/4i6NLUdx45sTYcbGrey/IwlKmNC4iQwAUlE3Kv2xx99sVPoAR2KmNzoPnblx50rzlI2fGOPviE86ReP6hae5kYM4je/byr+hXxWjvf5vxf5VHCpt3I+XlzWyLQH4mxrfnppguHahm0CqovETBv4deCD7h/+6kVZKu/hGdebok5v+kTpxrBw64IADDjjggAMOOOCAAw7YQGz8uYV/JBp/KccBBxxwwAEHHHDAAQcccMCBfzwcK4cOOOCAAw444IADDjjggAM2sPyPnjn8nxgcCoIwEegqiuLUxmLRfe6DhA7siElfTeLzyyg+ealOId/2EcR9MBmlqzOZ25I4+Or3AIQP707HF+7Cu3kw6+54jaLjqQBEjY6l3ZQ7AHB1c0UdHkB1dhGZXyeQtmSt/Qs4O9F26VN4xERhLCnn5OMfUZVRgKBS0urdx/HsGIVoETk35xtK954CoMnoWCKeHY0oiuhyS0lfsZPWM8eCUkH6j9s5v/R3Ox4KZyc6L5mCV0wkxpIKDk1ejD6jEHWYH4N2vUdFSjYAxUcucHzWVyjVznT94lncwpsgWiwEbj2GSu1M5ABJTxumLSO/Hj01aR/BsPcn4+TqTOr2JLa9JunJv3VThsyfhMrNlbLMAv545lMMFXoCO0QxdMEjACgFqMwpxis6GJO+mp3PL6OoHh5+7SPoJ9dFxrYk9sl10WX6WMLjO4NFRF9Yxs4XPkeXV0r06Fg6PDkcBQLGSj0VGYX4dYxutPrWBPrgovWgPDWXHVM+viX0Q/rH0H3ugyidnVA38SZ5wUpOf7bern5jFz+Btn0k1SXlJD6xlMrMQgDaTh1B9Lj+iBYLh+d8R87OEyhcVAxZNQelsxOCk5L0Pw5y4r1Vdu/Y940HaX1vPz5v9Sh933iQcNlHtrywjIJ6ZPJvH8HgRVLdp21LYpdc98M+mYp3lPRhaRdPDdVlOs6/9RPt33wIQakg7Sr26h0TiaGkgsOTF6PLKLTeV4f4MmjXu5x571cufPoHChcVfda8ikKWJ2PdQYqOnKfT3AcRlAou/msHZ+vh0X3xFHxiIqguqWD/5CXoMgsJ6NuOmNn3oVA5YTGaSJ77Lwr2SH4XNqoXrZ8ZiSiKkFfEhac/xFRcjlf/TkS8+TCCQkH+T1vIXrrajpdHjzZEzH0YTetwzk9ZRPEf++zuK93VxOxYTMmmA1yavbyObgGC+sfQ+c0HERQKUn7awel65Om5eAra9pI8e59YQmVmIc4+7sQtexZtxyhSf97Fkdnf1kv/WpgzfxG79hxE6+PNmh/+2tfU/w492UI7oAPN35qEoFSQ8+PWOrHXu2drmr85Abc24fw5+UMK1h2ol86t1r1S7Uzvz5/BI6IJotlC1uajnJr3byu9JgNi6CjbbmoDtttNtl2Dje36dIyiy7uPSoUEOPX+KrI3HKbDmw8RNKgDRr2BPQ3EPG37CHrLMSlrWxKH5Jjk7O1G30+n4h7mT0VGAbueWILhsg5nLw2x7z+OR3gA5moje6d9gV8Tb9q/+RBu4U0wlJRTnV+KxWxhZ/wc63vfiF8DDD30EcYKPZgtWMwWTryz8pb7taBS0nn+RPx7tQaLSOa6/YSO6ImgVHDpx+2cq4dHVxs5Dspy+HSKptO7j8j6Fzjz3q9kbzgMQPSjw4h4YACCIFC9ah2Xv5dsXxPXFb+XngClkrJfNlC6/Gc7Xt4T7sJz7DBEkxlzyWXy5yzClJ1vvS+4aQj/fRkVW/eh23nASqvih13XbacAbabeSdS4fogWC0fmfEfuzhMAtHxsGNHjByCKIpfPZLD/+WVYqo30X/Q4QT1boXJzxdldTXlWIVuf/JjCBtrs/h9IbUP6tiT2yrbVdfpYIuI7I8pt9g65zXb2UDNw8RR8W4SgDtJivKzjwufrb0k9qDw1dF70GJ4twxBFkUvPf0z5kXOSrgd0JOrNSaBUkPfjVrKWrrHj59mzNZFzJ+HWJpyzT3xA0br9ALiE+tHqq5k4h/ji5KHBWFTG6YcWUHkitY4utO0j6PWhpIusbUkcfqXGz/p8NhW3UH8qMwvYPVnyM4Cubz5IiNz+7nt+GcUnJB3ftnEu3q3CwCKS/P4qTn28zo5X1zcfJHp8fyou5V83P89mQfRa9Dja9hEkvWPfzwCeBR4DBOAL4MM6AjrwH8f/+22lgiD8HQPg2zwjA1kVN419s76k19sT6y3U8+1J7J25nFVx0/CMDCRkQAwApWcy2f7YR+TtP2tX/uLqvfw2dDa/D5uDQqWkKquQvT2eocno3ri1CLErGzx+IMbSSvb1fJaMz9fT7JXxAIQ8MAiAA/1ncOyet2j++oMgCAhKBS3emsjRu+ZycMBMys6k02Hhw+wbv5BtfWcQMjoWj1o8mo7vj6G0kq29XiDl8w20nTPOeq8yLY8dg19mx+CXOT7rK+v1lE//YFuf6ewY/BLRgzoR3Lk5X/adRsKLXzJkXv16GjxvEgmzlvNl32n4RAQS2V/SU/zCR9m14N98O/Qlzm88TLfJ0kCq8Gwm3w9/he9um03yp38Q0qcdK/vNIHHWl8Q1UBe9357E7pnL+TluGl6RgYTKdXH8sz9YNeRlVsXPJn3rMTo/NxqA8vQC1o19i7WDXyJr+3FCB3ZotPo+suBnLqfkUJ6Wz+5nP7sl9AWFQI95E9j8wEIKT1zCrDfg6udpRy96nFS/v/WexpkvNtJpzn0AeDYPJnxkT9YNmMW28Qvp9vZEBIWApdrI1rvns37IbNYPmU1w/xh8O0db6QXEROLi5QZA+IAOeEcG8n2faWyb9SX959cv04D5k9g2cznf95mGd2Qg4XLdb3xyKSuGzWbFsNmkbDhEysZDdHh7EvvGL2Rr3xmE1mOv4eP7YyytZItsr21s7BWg3RsPkLct2fq/pdpI4pi32D7oJbYPeonAATF0ff8xdt+/kI39ZtJ0VK86PCLH9cdwuZINsdM4v2wDMTIPQ3E5iQ+9R8LAFzn4zGf0WDJFqgelgo5vPsiOsW+xedBL6E5fInDS7aBQEDn/Mc7c/xbJ/Z/Fd2Qf1M1D7XgZsgpIeW4Jhat316u70JnjKD/wZ733QLKBLvMnsuP+hazvP5Pwkb3wbG4vT5RsA+t6T+PsFxvoIMtjrjJy/N2VJM39V4P0rwejbh/CZ4ve+usE/gY92fMTaLngEZLHz+dAn+cJGN0bTS0bqMoq5NSzn5C3KvGqdBpD92c+W88ffWewcejL+HVrQeDADlZ+neZPJPH+hWzqN5Owemw3QrbdjbHTOLdsA+1lfmVnM9k6bA5bhrxM4viFdF74MEFDOuERFcjGWCnm9bhKTNo3czlr5JgULMekdk+NIDfxFGvippObeIp2T40AoP3TIyn+M43fh7xM4rOf0W3ug1a/rsotxlBczuEnP7YODOHG/foK9oyZx/bBL7PztlfoPH/iLfVrgNbPjqKqsIyNcdPZ3H8mTcf0Yc/4hWxuID5FyO1pQq8XuPD5Btpd0f+ZDLbHz2Hb4JfZO+4dOr77CIJSgWerUCIeGMCO215h68AXcevfA1XTYFAo8J/zFNmT55A+4jE8bh+AKrqpHa/q0ylk3P00GaOnULEpEd9pj9rd933mIfSHT4KAHa0bsVPP5iE0HdmT9QNmsWP8Qrq+PQlBIaAO9KHFI/Fsum0OGwa+iKBQED6yl5XehbX7KDieyvLoSWx/7rMG2+w+b09i18zlrJDb7DDZtpI/+4NfhrzMr3Kb3UVus9tOGELJhSwQYeeI11E4KQm7q/dN1wNAzFsPkbctmc19prN10IvozmdKxBQKot5+lD/Hz+NY3+fxHx2HuoV9fKrOKuT8sx9TsNo+XhjySkl//2cqky9yoNUkUAg0WzSF+tB9wSQOzFjO2t7T8LDxs7ZTJT/7TfaztlMlPwse2AGPyEDW9p7GgZlf0l3WcfsXRuMW6s+K6EfYev+7tH9uFCr3mgRm2phInL3cUDqrbohfdUklh1/5nlP2g0KAdkgDw+5AB2A40KxeIf8hEEWhUX/+qfjHDQ4FQXhFEISzgiAkCoLwkyAI0wVBiBYEYaMgCEcEQdgtCEIruewIQRAOCIJwTBCELYIgNJGvvy4IwveCIOwBvpdJhwmCsEMQhPOCILxmw+8FQRBOyj/PydeeFwThK/nv9vI9zVVee2TKL5KjFxxNwdnLDXWAt10BdYA3zh5qCo6mAJDySyJNh3UF4PKFbMpSchok7tcpGtFkJveX3YhGM3lr9uI3rJtdGf9hXcn5eScA+b/vxyeuHQBuLUIpSTwJgLGwDFNZJZ4do0AQAAGlxkUqFxFIVV4puvR8RKOZrDX7CIzvYscjKL4rGT9LHa7sdQfwk3k0BLPeQKE8qyoazYiiSN6flwDIOZaCi6cbbrX05BbgjbO7mpxjkp7+/DWRZvGSnnwiA8k8cAaAtN0naXG7pANTlQFRznDXdFBHTFVSZtf8oyk4ezZQF+5q8uW6OP9LIhEyD2NFTfZIJ7ULV7L55h85b52Bcw8PwGKRrjdGfTeN70J1cQWpv+2/ZfT9OkVTfikPbeumVKTlU3Q8Fa+W9o1WaHxnLq6U6jd93UGaxLUFICy+C2lr92MxmKjMKKD8Uh6+naRBoElXDYBCpUShcgI5r5egEOg9exx75q8AIGpoF07/KvlInlz3mloyaeR6yZPr/vSviUTJ9WKLZsN7UHw+m4rUPKu9ZtZjr4HxXUm3sVd/G3sNGtYVXXoB5Wcz7Z4x28ij8tKgzy6mMr0A0WgmY+1+QmrxCB7WhUs/7wIgc91BAvpIOis9mUZVXikgdbaVrs4onJ2kiRlBwEkjZZ9Tumsw5Bbj3qkZVZdyqE7PQzSaKFqbiE98dzte1ZkF6E6ngaXuCXm39lGo/L25vLNup/gKtJ2iqbiUR2V6ARajmfS1+wmtJU9ofBdSV0ryZKw7SKBsA2Z9NYUHz2GuvrmsyV07tsfL0+MvP/936MkWnp2boUvNpSpNsrP8NXvxrxV7qzIKqDyVDpaGk9p5dm52y3Vv1hvIl3eBWIxmSk5cQh2kBezr+ortBtdju2my7WbZ2K5ZXxNPFS4qECFoaGfS5NhQeJWYpPJQU1hPTAqL70KK/HzKyt2Eyde9WoSQK7cRZSk5eEYHocsqRJcurWrlbDh8S/zaFj6dmtXRzU37NRB5Xz/OLP5N0n/HaCpScuziU1A97ekVObJs5LDTv6vKGlM9modQcvSC9b7+0HHcBvfGtX1LjOnZmDJzwWiiYsMO3Af2suOlP5iMWCXFtqrjp3FqUpOF1KVNM5S+Puj2HkHp62NH60bsNDS+C+k27UTFpTy0cjshOClRujojKBUo1S7o80qs9Pw7RHFO7j/lH224bVDZtNnnrqPNFkURz/BAKlPzMJRUYCitIOMW1IOThxq/nq249K8dEh+jGXOZ1Dfw6NSMqtRcqtPzEY0mCtbsQRtvHy+qM6T4JNaKT6LRhHZQZ/J/3oHCxQmMZpQeGlTX8LPUXxKt/hQW34WLsiwXf95tdz1V1rGt/wYP6EDenlOIZgv5+04jmi2Ej+wp1ZlCoPMr4zj92XoEgRviV11URlHyRUSTmVpoDRwAdIAJ2AncVbuQA/95/KMGh4IgdAPGIM0o3AZc6RkuA54WRbELMB34RL6eCPQURbETsAKYaUOuDTBYFMUr04rdZdoxwN2CIHQVBKELMAnoAfQEHhMEoRPwEdBMEITRwNfAZFEUdVd59ZDK7Jq00pU5xWgCfewKaAJ9qMwpvmqZhqAJ9EGl9SBv9V4AqrOLcKn1rEuQluos6R1EswVTuQ6V1oPyU2n4xXdFUCpwbeqPR0wULsG+iCYzZ2ctp8eOd4k7/hnu0UGUHDlvpafPKcZV7mhcgWuQD/psex7OWqmjp2nqT7/N8+m9+hW0PVrWkcHJU4N3eABp8kAVoDy3GPdacrgH+lCRW1xvmcJzmTQbKgX2Fnf0wMPm/QI7RjNxywKihvfg+CfrrEG9MqcYt1o83OqpC9syXWfezbiDH9FsdCxH3vu1jiz+HaPJP3ze7vlbXd++HSJJXbPvltHXBPqgzy+l3VPDSVq0CmO5HpWHpk6ZymyJpmi2YCzT4aJ1Rx1Ucx1Al1OMWuYlKARu2zyPMcc/IWfXCYrkgV3MxKGkbj6KLr8UkHReYeMjFTkN1P1V6gUguEdLdIWXQRSttghQlVNs7RhfgboBe1VqXGg+dQRn6qlbFAIDtszntpOfUX4um8tnMuqV28oj0Ad9LZ05a93tyoTc0Z2SE5ewGEyIJjNHZn3N0G0LGJ60FHWLUPJ/2opzoC8GG3kMOUU415KnQQgC4a9NJH3u1bd6agK16Gx46HKKUQfVlUdnI4+hHnn+k/g79GQLl0At1Tb8pNh7nfxq0WlM3as8NYQM6Uz+7pMyLS36rBp++hu0XW2naIbseIeh2xdwdNZXqJv41Hn/+mKSLqe43jJqP0/0cizQ55eilnctlJxKp+ntUjPv2zEKdYAXxjKpsy+KIqFj4mg2+XbCHxhY895/wa9FUSR2xYv03zSPpvf2QZdVqy5u0q9VnlIsbTdrLIMT3qL9Gw9QXVxmr/9rtKdGm/bUp1M0g3cuZPD2d0ia+SWi2ULZmQx8e7TC2ccdpdoZt77dcAryR9nEF2NugZWuKbcQZUDDn6DwvGsYut2HpH8EAb+Zj1P47hcAKNSudrRuxE7VQfXZiBZ9bglnPv2DOw8tZlTSxxjLddbtpgCBXZrTbcZYer12Pwpnp+tu72zbhm4z7+b+gx/RfHQsh+X6//ObzXhFB+LbsyWDt7/D8Ve+Q59ddNP14NY0gOqicrp8NJmBm+fT+f3HUMiT7M5BWgzZNVucDTlFuFxvfAJcIwNpOmscXY98TubHa6nOKMAlyLeu/m11kV1jv661/OzK7iB1oA92fVT5GUEAz2ZBKNXOuGjdUaic8GoeDECLSUPJTDiK4KTE9pN318PvKjgJ9AF8AQ1wOxB23Qr6D0C0CI3680/FP2pwCPQG1oqiWCWKYjnwO+AKxAIrBUFIAj4HguTyocAmQRBOADOAtja0fhNF0fYjYptFUSySr60C4uSf1aIoVoqiWCFf7yOKogWYiLTquFMUxT2NI+71wTMyENFsodKmo3q9yPnXdqpziuiW8DYt3pzA5UPnEC0WBCclIROHcHDQiyTGPIE+qwivtuF/6f2q80pJ6PIMO4e8zMnXfqDrJ1NxstmaICgVdP1sKpczCqiUZ13/CjbN+IKODw3mgT/exNndFbPRZL2Xm5TCN4NfJPfQOZqN6Y3S5a9/U+zwwpX81P1ZLqzeS5tJQ+zuBca2xi3El7PfbfnL9K8FZ08N5mojpVeZ/f4r0LaP4NQXG62rfbcCokVkw5DZrO7yDL4do/FqGYq6iTfN7uhO8tcJt4zPFbQY2Yvza/ddu+BV0GrGGC4sW29dJbSDRWT74JfZ1Gkq7pFNcPZ2uyleni1CiJlzH0dmfglIM+jREwaxecjLrOs4Fd3pNEKevrmJ0yYTh1Gy7SiGnMb/7tl/M/6/6klQKoj9ZCrnvtxEZXrBtR+4DhQfS2Fz/1lsve0VWj19J9zi79Fd6WueXPo7zp5uDE+YR6uHh1KRXmi9ufvONzizcCU5CUeJmjQE356trkrzan69+8432DF0Nnvvf4eAAR1wrbUac6Oo69cKNCG+FB46z5ahc6hIyUHb6a/vlis5lsKWfjPZPmwOLZ4ZicJFRfn5bM4t/Z3eK16i979mUX3mItzgNyHdRwzEtV1zSr76BQCvcSOo3HUIc17hNZ7861B5aQiN78LvPZ5jTaepOGlciLirNwAHF/xM9r7T7Jy5HBdvdzo+Ofwv8Ti0cCU/dn+W86v30k5us0P7t6cio5DMVXvZOuglOsyfiNLV+Ybo1lcPgpMC7/YRXPxmC9uGvIxJV03o1NF/6b1rw1Jl5PyzSznaayoB9/RDUN3cqahrfW6zqqicwiMXiP/tNeI+eQpjuQ7RYkHdxJvwEd05+9WNteHX8XnP08A7QAKwEUgC6iwvOvCfx39DQhoFUCqKYsd67i0BFomi+JsgCP2B123uVdYqW9tsr2XGzYEKILiB+0/l5+e/WFxc7JuUlFRZ4mu0fmraLUiLLrfErrAutwQ3mxmk+so0BJ82TTEWl1v/dwn2pbrWs9U5xbiE+FKdU4ygVEgHmuVnzr/6nbVcl3Vz0afk4N4uAgB9Wh4AuZuO0GrmWGs5dZCWKpvZKYCqnBLUwb5U2fAwyDwshgoALh9PpTItD/foQEqTU4mcNIRWM+9GtFg4m3AED5tZMI9ALRW15KjILcHdZmbetkxxSg6/PPCOpJPIQKIGdgSg40ODiRk3QCqTfBG11h2flqEUHk/FLUhLZS0elfXURe0yABdW72XYd9M5+v4q2kwYTNuHh+IR5k/6piM426y63Yr6bjVhMC3ul2QQlAoKky/eUvpSeV+6zr6PrrPvw9XfC0SRFpOGcO7rzTVlgrXo5fpVeWqoLq5AnyNdvwJNkDQbbAtjmY68vacIHhDD5fPZeEU04ZFjH+PspkahUhLcoyVn1+y1lncPaqDur1IvglJB9LBurLj9FTyCtaiDa2zJNUh6b1voG7BXn07NCBneg3avjEflqUG0iJirjaTaNITGMh2Fh88TYNMhrU9ufW4J6lo6MxRLvqAO0hL71fMcfOYzKtOkbXLe8gTMlf+LfttL8NTRXE48jrONPM5BvhhqydMQPLq0xKNHawInDEPh5oqgcsJcWUXG/B/syulyi9HY8NAEadHn1JVHYyOPs408/wQYcosaXU+2qM4txsWGnxR7r49fbTp+jaT77u8+QnlqLmeXb+TKlJg+txh1SA0/9Q3aLkD0xCFE3j8At4gA9Lv/RBPsy5VhtaaBmKQJso8TV8roC8tQB3hLq4YB3lQVSatqxgo9e19YZn1m7NElOHlILWlVbgmuQVoqU3Opyi7Cp1M0RfvP/CW/rpLfw1BYRsGuk/ja7G65FX5tKK7ApKsia720Ipe94RAhw2u2O6vriU9X2lMrD5v29ArKz2djqqzCs1UopcmppP20g7SfdgDQf+6dmHILMOcVoQr0tz7jFOiHOb/uYE/dqxPax8eRNWE6GKUtyq4dW+PapR1e44aj0KgRXJwxF5fa6+Y67VSfU1Invuhyiwns046KjAKqZdky1h8i+oEBtJpyB2agIPkiGn9vzv68iw6Tb7/u9q6hNvu276Zz+P1VtLynH2mbj9IyviuV8jZir7bhdjtO/ko96LOL0ecUUyLvkslad4D2T0uDWkNOMc7BNau2zkFSn+xqCJw0jCb3S7khKpJScAn2pfzgGXRnMvAe0JHqWpNZ+lp+5hZcY79VtfysWvYzfW4JbsG+FAAtJg4moHsLYj+aTMHh8+TtPc2BmVKeiHvOfkHxyTS07SLwiGjCyL3vIygUCAoFI/e8z9re066L3zXwpfwDMB+4tbPgtxjXMeD9f4l/2srhHmCEIAiugiC4Ix1W1QGpgiDcDSBIkE/d4wVkyX9PuAbtIYIgaAVBUAOjZF67gVGCIGgEQXADRgO7BUHwAhYDfQFfQRDG1kPv44CAgLBWrVpp7rvvvokj7peK+HeOxlCmsy61X4E+vxRDuR5/OWFH9Ng40jcdubZGBIEm3VuicFHh2tQfQaWkyahYCjcdtitWuOkwQff0AyBgRE9KEqWECwq1s3XLg7Zve0SThcpzWVTnFOPWIhSVr7R9wjVQi0LlhEbmETKqF7kJ9u+Xm3CEsHv6ABA8vAeFeyQezr4e1pllTdMA3CIDrY2mS4A3hXtOsbHdFC5sOkLbMXEABHWKprpcR2UtPVXml2Ko0BMkn1VoOyaOC/J7aHw9rTrp+cxIkn/YCkDq9mRrQpq8w+fwiAikPKOAgM7RGMobqIsKPQFyXTQfG0eazMMzsom1XER8Z0rls3tpm48hKJVsvHs+KSsTiR4ryXGr6vvMt1v4behsfoufgzrA23rm4lbRL0y6KCWfuHs+q/pMx1im49w3W6wDQ4CshKNE3S3Vb9Ph3clLlM4CZSYcJXxkTxTOTriF+eMRGUjRsRRctB7W7VRKVxVBfdtTdiGb7K1JfNVlKstjpvBJ9ESMumoSpn5Ca7num3SS6kVXSyadXC9N5LpvPSaOizY2GNanHSUp2VTmFpOXfBH3qECrvYY2YK9N67HXxFFzSej2LAndniXli42cW7yW1K8ScPatkUfhqsKzeTAqTw2aMIlH2MieZNfScfamo0Tc0xeA0OHdyZf9TuWpIe776ZyYv4KiQ+dq6i23GM8WIZLPAF59O6A/n0VF0gVcI4NwCQtAUDnhOzKOkoRDDdanLS5M/ZBj3SZzrMcTpM/9lsJfdtQ74ClOuohHZCBuYf4oVEqajuxJZi2dZSUcJfJuSZ6w4d3JS7zOxC1/E/4OPdmi/FgKmqgga+wNqCf2Xg/Kj6U0iu7bz7wblYeGo69+b3e9JOki7pGBdrabU8t2czYdJVy23RAb29WE+SMoFaR8s5m9kxZhqqgi47d9hMuxwa9zNMYGYpKxXI+fTUzKkHlmJhwlWn4++u4+1usqTw0KlRKA5uP7k5N4EremAbi3CEHl7UboqF7k7zqBf7/2lMk7Z27Ur5UaF5zc5DO+Ghc8WoTgdIv9GiA74Rj+sa2lcj7SFlTb+JRTq75zbOQIGd6DAlkOTVN/a+ITdagfHs2CrdlYXa5sEwzxxX1wbyr+2E7VybOowkNwCmkCKifcb+tP5fb9drycW0cT8Noz5Ex9DXPxZev1vJnvkDboQdKGTKDw3S8oW7MFRKy0bsROMxOO0LRWO1F8LAVdVhF+nZuhVEurdoFxbUlfd5CNQ15mw4PvcmnjEVqMjSMyvgtVpRUNtg1Gmza7xdg4LtXTZofbtNkVWYVomvjgHhWId4dIPKKD8O/V6qbrobrgMvqsItyjpQ1sAX3aoT8njW/Kky6gjgrCpakUn/xH9ab4GvEp9+uNJA+ewekH36Zk61EC7umP0ssNrz7tMZVUYLyGn0XW8rMoWZaoe/rYXY+U+yzFx1MpOZXOugEvkrnpCNHjpH5jxF2xKJwUpK3dT9bWJH7tOJU1PZ5ndbdnES0ie57+5Lr5XQMB8u+mSOcNby7L2f8ABEEYJudiuSAIwov13H9BEIRTgiAcFwRhqyAIf20boC1N8R82LBYE4XVgPJAH5CMtPW8BPkXaTqoCVoiiOFcQhJHAB0AJsA3oJopif5lGhSiK78k0JyINCL2QtqL+IIriG/K9F4CHZfbLRVH8UE5GkySK4mJBEMKA7UCsKIo1uZ9rvfbpbzZbQvrHYNYbSHxhmfXzAXcmzOO3obMB8I2JJO6Dx6U039uTOTBHWtFrOqwrPd56CFetB4YyHcV/prH5/oUABPZqTZeX7yXrvZW0eHMCKBXk/LSDSx+uJmrm3ZQlX6Rw0xEULiraLJ2KR/sIjKUVnJz8EVVp+biG+dNxxctgEanOLeb0859RJaedDnloMGGP3Y7FZKIys4iMXxNpPfNuBKWC9J92cO6jtbSaOZbSpIvkJhxF4aKi89In8WoXjrG0ksOTl6BLzyfojm7S6qDRhGgROfPur+RtPoprkJb4Y0spP5eFxWCkWhCoulyJZ4gvRr2BjdOXkSfr6aEN8/juNklPTWIiue39x+VPWSSzVV757PxwPB0fGgzA+Y2H2b1AStve5q7edH9yBBajGYVFRFdQindUEKYqAztfWEahzOOuTfNYFS/x8IuJpN8iiUfGjmT2ynUxeNkzeEUFIYoiFZmFJL70NbrcEvq8+yiRt3WjMkvSnbqJN8aKqkar78LjqdxqewoZ2IHubzyAoFCgyywke1syKg81RcmpZMn1G7v4CbTtIqgurWDPlKVUyNvU2j5zJ9H39UM0Wzjy6vdkbz+Od+swen00WZ5ZFEj7/QAnP1gDQLGyxjkmn1nO560epd9bEwjvH4NRb2DrtGXkyzLdt3EeK4ZJMgXERDJYrpe07cnsfKVm1XvwosfJPXqBkz9sA6Br3xjay+no0xqw1y429npItldbtJo+BlNlFRc+/QPP1mF0XjwFQSnJk/7bAUqSL9Z8DmDFTs58tJa2M8ZQnJxKjsyj+5Ip+LQLx1Bayf4nllCZXkDr50bR6ukRVFzMs/Ladd8CqovKiHpoEM0fjcdiNCNm5ZHy3BJMJRV4D+xM+BsPIygV5K/YSvbiXwmdcR+VySmUJBzCrUMzWnw5CydvNyxVRowFJRwf8JydPP73DMCtQ7TdJxpSqdniHTSwA53fkFP4r9jJqcVraS/Lc8UGei2ukWfPlCXWrYojDnyIyl2NwtkJ42Ud28ctoOx8FmOPv8n1YsZrCzh07DilpWX4ar158pEHGTMi/prPHYmZbv27sfSkM9e/kcZ3UCeavzkBQakg+6ftpH24msiZ91CenELhpiN4dIym/dfTUcn8qvNLOdhvWh06iiFdb6nujRV6Rh1ZwuXzWVgM0hb7lK8SrIkyAgd2oINsu5dk220zYwwltWzXW+Z3QLbdpmPjaDl1hJxEzMLpRavJ3niEjvMnEjhA8t+9NjFpeMI81tnEpNgPJP/N2p7MQTkmufi40/ezp3EL8aUys5CdTyzBUFqJX5dmxH04GVGE0rOZ7Jv+BeGdmhHz9kRcA30wllRgKK2kuuAyKcs2/CW/1jQNoMfXzwPStu7MVXsoOpl2y/1aE+pH9yVTpFXGojLSV+6m5bOjrPHp7EdraS3Hpys8ui590qr/g7IcYWPjaPn0nViMJrCInF60mpyN0oRE3zWv4qx1x2I0U/n+J+j3JwGg6dsNvxefQFAoKFudQMnnP6Gd+hBVf55Dt30/wV8uwLl5BOZCaRXLlJ1PztTX7XTmMWoILm1boNt90Err1L8Sb8hO2zwzkqj7+iGazRx99QdytkuJn9pNH0P4nT2xmMyUnEzj4PQvsBhM9F35Mq6+nrg18UahcqIiq4jtz39ubbPHbJrHrzZt9oBFUnuXsSOZPbJtDVn2DN42bfYuuc3WNPGm/6LJaCObSLZ0WUfK8o23pB682obTedFjKFROVKblk/7cEsyXpc1qPoM6ETlX+pRF/k/byPxoFU1n3ktFUgrFCYdx7xhNq69m2sSnUo71ex6vvjFEvj4B50AflO5qjEVlnJm4kIrkFFIVrty+eR7rh0i60MZEEvuhpIvs7ckcmi3pwtnHnT5X/CyrUPq0RKn0Xt3mTyC4fwwmvUH6lMXxVBQuKsYcW4KTxhXRbGb/9OVcWi0d27Dld1/Kl1Sk5V83P1d/L27b8CYqDzVYLBgrq1nXfxb3nvtCQFqU8QWMwAvA1jrB8h+EU9F3NOogqU3KH1fdsy8IghI4BwxBWmU9BIwTRfGUTZkBwAFRFHWCIEwB+ouieO/NvNc/cXDoLopihZwddBfwuCiKR//T73UtfBPyQKMqMsx0c1kCr4UKQXntQjeJ886Nv1DtdWNHMG4Yqn+Wu/xlNLYcxY1vToQZG7eyjULjHxYPE/TXLnSTsB0cNgZuZHD4V2E7OGwsNDQ4vFXIU/71c9DXi78jPulu8fnD2vC8wXN0fwWN7dvKv6FfFaNt/LOzh0obTmxzK1DWyLYE4G9qfHtqgqFR6acqXBuV/t+FB7J/+OdmYGkA/4DBYS/gdVEU4+X/XwIQRfHtBsp3ApaKotj7Zt7rn3jmcJkgCG2QEtF8+98wMHTAAQcccMABBxxwwAEH/v/A8p//FmEIYJuNMhPpCwsN4RFgw80y/ccNDkVRHP+ffgcHHHDAAQcccMABBxxwwIHGgiAIjwOP21xaJorisobKX4PWA0ifAOx3s+/1jxscOuCAAw444IADDjjggAMO/CchNvLKoTwQvNpgMAv7b0GGUpOI0wpBEAYDs4F+oije9PfK/mnZSh1wwAEHHHDAAQcccMABB/7XcQhoLghCpCAIzsB9wG+2BeRzhp8Dd14lceYNwbFyeIvg3ciH6D2dGvfAs87c+Aee/f6GT502dhqAAJOpkTlAoVPju6WukaeF/MyNn5ChUtG4Qlz+G5LquBlu7KPMfwVGp8ad+fw7ksV0Of5eo/P4JeaVRqWv+BuSxZQoG/98jLqR83u4in9HQprGde58VePPux8radxkMQCNnULp7+iAuvwNyYHKG1kSy99w7O3viE//jfhP5+wURdEkCMJUYBOgBL4SRfFPQRDmAodFUfwNeBdwB1YKUrKtdFEU77wZvo7BoQMOOOCAAw444IADDjjgwD8MoiiuB9bXuvaqzd+DbzVPx+DQAQcccMABBxxwwAEHHHDABv+AbKX/ETgGhw444IADDjjggAMOOOCAAzZo7IQ0/1T8Vw8OBUHYK4pirCAIEcA6URTbCYLQEQiWl2H/NgQMiKH9mw8hKBWk/bid80t/t7uvcHai85IpeMdEYiip4PDkxegyCq331SG+DNr1Lmfe+5ULn/4BQPTjtxF+/wAQRYxnLpH6whLEaiOe/TvRdO4jCAoFBT9tIffjVXa83Hu0oekbD6NpHUHKk+9T8sc+6z3nYD8i3nsK52A/EEXOPfgmhswCAPwHdKCdLEP6j9u5sNTuzCsKZyc6LnnSKsORyR+hzyhEHebHgF3vU5GSDUDJkQucmPUlAL1WvYJrgDfmKgNmQaAw6SKBsW0w6atJfH4ZxScv1dGlb/sI4j6YjNLVmcxtSRx89XsAwod3p+MLd+HdPJh1d7xG0fFUAKJGx9Juyh2AdOZQ26YpldnFGC5Xkvj8Mooa4NHHhscBmUfXOeMIG9IJi8FEeVo+iS8sw1CmI7hPO7q8fC8uKiUKFxUKF2csBiMZP27j4pK6eopZ+hReMZEYSyo49vhH6DMKCB7Tm6gnR1jLebRpSuLgl6i8mEPnL55DE9EE0WwhbUsSSrUzIQM7YtZXs6cBPWnbR9BbliFrWxKHbPTU4YW78GoezHobPbn4uNNv2TP4doji3MpdiBaRsIEdMemr2dmAnvzaR9BP5pGxLYl9Mo8u08cSHt8ZLCL6wjJ2vvA5urxSAIJ6tabfe4+iCdIiWkROLlrF6Xr8oefiKWjbR1BdUsHeJ5ZQmVmIs487ccueRdsxitSfd3Fk9rfWZ/r/OBP3qEA0QVrMVUZOffw7fy6pSzd28RNo20dSXVJO4hNLqcyU/Kzt1BFEj+uPaLFweM535Ow8gUd0EHGfTa2pk6YBJL/7C2eXb6LX7HFEDO6Eq9YDJxcV5ZmFbHnuMwrr0ZN/+wgGLpqMk6szaduSSHxN0lO35++i9fj+VBWVA7D/nZ9J355MaJ929HzxXty93XAJ8MZYUsGlLzfeUlty9vVEUAhUZBffsA05e7vR99OpuIf5U5FRwK4nlmC4rAOgSa/WdHvjARROSqqKy7k0ZjbOwb5Ef/QMKn9vFGoXlGpnzOV68n/aQvbS1XY8PXq0IWLuw2hah3N+yiKKbeITgNJdTcyOxZRsOsCl2cvrvPO1MGf+InbtOYjWx5s1P3x2w88DBPWPofObDyIoFKT8tOOW2G/ggBg6zX0QQang4r92cKYemj0WT8EnJgJDSQV7Jy9BJ9OM/UKieenfuzhqQ1OhUtJ5/kQCerVGFEUOLFxJUM9Wt8yvK3KKCOrZGtFswVxtxDs6iKR3VnL6s5rmVds+gl4fSraftS2Jw6/U2FCfz6biFupPZWYBuyfX2FDXNx8kRH7Hfc8vo/jEJdxCfOn31fO4eKhRB2kxluu49NkfpH+VQI/fXrfycw3SYiytAIUCY0kFybJPBI3pTWQtn9g7+CXK/0xDUClp8/bDaGPbIFospK87SNiIHta6OFtPXXSX66K6pIL9cl0E9G1HzOz7UKicsBhNJM/9FwV7TgHQ518zcQ3wRnBSknnwLIlzviH2tQdoKsu5/YVl9cYOv/YRDJBjR/q2JPbIseMKYh6/jdhX7uebmCeoKqkAILhnawa++yjqYC1YRP58f9UtkUGQ7clftqc/F/xM1h+HAGgyIIaOsv2mNqCzbjb2e4WfT8courz7qFRIgFPvryJ7w+E6eriCnnMftNrvrqu0330/kHSWsS2J/bL9dpbtV7SIVBWWseuFz/FvHkqbt6R+TcaP20mpJ8Z2WPokXnK/RoqxUpvh0aYp7d99BCd3DaJoYU/8HFAIdPniOTQRAYhmkbzNRyjdc4rWb00ApYLMH7eRWouHIMdxTzmOX4/Ndl/1Kh5tm6JUu2ARRbZNeJ/cxD/r6OKvxPB+XzxL6KCOgEjJ2SzW3yadtx514AOMFVWIFgsKlRLRLN60XzeJbU2XNx648rpJQCukpCprgIHAe4AzcATpG32Nn9jBgWvivzpbqSiKsfVc7gjc/je/irLD25PYN34hW/vOIHR0LB4tQuwKhI/vj7G0ki29XiDl8w20mTPO7n67Nx4gb1uy9X/XQB+iHo1nR/xstvWfhaBUoB0ZBwoF4fMe5/wDb3JywDP4jorDtXmoHS1DVgGpzy+haM2uOi8a+dGz5H66hpP9n+bUHTMxFV6WbigE2r89iQPj32F73+kEj47FvZYMYeMHYCytZFuv57n4+Xpaz6n5JGVlWh67Br/ErsEvWQeGV3D0qY/ZNfgljiz4GU2QllVx09g360t6vT2xXmX2fHsSe2cuZ1XcNDwjAwkZEANA6ZlMtj/2EXn7z9qVv7h6L78Nnc1vQ2dz7odtmPUGVnZ/lr1X4dHr7UnsmbmcX2vxyN51gjUDX2TtkJcpu5hDzFQpcFcVl7Nl4vvsHjhLGhyqlOzqM43g0b3r6Cl0/ABMpRXs7PkcqZ//QctXJD1l/7qHxEEvkjjoRZKnfowuvYDyP9MkGT5dx664aSQOfpGQwZ3w79qcNbKeelxFT/tmLmeNLEOwjZ521KMnc5WRpIW/cOTNf+Ee4odXZCA/x00jcdaXxDXAo/fbk9g9czk/x03DKzKQUJnH8c/+YNWQl1kVP5v0rcfo/NxoAJw9NfSeNxGFUskffWfwe68XCB/ZC8/m9jqKGtcfQ2kl63pP4+wXG+gg+4O5ysjxd1eSNPdfdd4lccpSEOGPvjPIS/yT5g8OwrN5sF2ZaJnub72nceaLjXSacx8Ans2DCR/Zk3UDZrFt/EK6vT0RQSFQnpLDhiGz2TBkNhvj52DSV5Mpd1wyd59g71v/Ij/5Iie+3Uz+yVT6za9fT33nT2LHzOX82EfSU9P+MdZ7x5dv5Odhs/l52GzSt0s+XlVczoZHFyFaRI5MlJKt3EpbOv3a91xOvkj5mUzO/3vnDdtQu6dGkJt4ijVx08lNPEW7pyQ/UHlq6DF/ItsnLuK3gS+ya/ISAESThbS533J84PMgipgrqzn36EJ8R/ZBXU98SnluCYWrd9f7TqEzx1F+oG4n6Hox6vYhfLborb/8vKAQ6DJ/IjvuX8j6/jNvif1eobnr/oVs7DeT8FG98GxRD83LlayPncbZZfY0Ty5cSXI9PtH62VFUFZaxPm46G/rOROGkvGV+XZaeT2ifdvwcN419r32PoFRw/PO6c67dF0ziwIzlrO09DQ8bG2o7VbKh32QbaivH0uCBHfCIDGRt72kcmPkl3eV31OeXsmnkGwjA3iEvYdEZCLm7L64hvuwd9KL1x6w3UHE+m909n+PS53/QQvaJnF/3WMscn/oxehufiH5uNIbCy+yOfZ7EfjMIHxPHbrkumo7qVae9jpTrYkPsNM4v20CMXBeG4nISH3qPhIEvcvCZz+ixZIr1mX2PL2Hz4JdJ6D8Lta8H3Wfdg1dkID/1mcbOWV/S5yqxY+fM5fwkx44wm9jhFqQlrG97yjNrJpKdPTXEzZuI4KRkU58ZrO/5wi2T4Yo9bYybzqa+MynYd1q6oRDoNH8iifcvZFO/mYTVwy9C5rcxdhrnlm2gvcyv7GwmW4fNYcuQl0kcv5DOCx9GUNbf9Qwd2AHPyEBWyvYbexX7TZy5nJVy3Lpivyc++4PVQ15mjdwudXx+NG0XTOLg+HfY2efq/ZodPZ8n9fP1tJLtSVAq6PjxU5yY8SW7+s1g/+g3sRilccvFT9exM246uwe/iLZbS9p99ASHxy8gsc80gkb3xq2eOG4srbghm1X5uFNxPouEpg+ScPc8Os26u15d3GgMbzq8O8H92rMmbjqbxs5DqLUwtuXueawfMhtTZfUt8eu8vadZP2Q264fMBmkwqAMSkMYf3yINFNsBacCEeoX8D0IUG/fnn4r/msGhIAgvCIJwUv55Tr5WUauMMzAXuFcQhCRBEO4VBOG8IAj+8n2FIAgXBEHwFwThG0EQPhME4bAgCOcEQRgul1EKgvCuIAiHBEE4LgjC5Ot4ve4VqXno0vMRjWYy1+wjML6LXYHA+K6k/yx1hrLXHcA/rp31XtCwrlLn7mymvcxKJUpXZwSlAoXaBWNuMW6dmlN9KYfq9DxEo4nitYn4xHe3e86QWYD+dBpY7C3PtXkogpOSst1SB9Wiq8JSJWVB9enUjMrUXKsM2Wv2ERjftZYMXcj8WRpw5tSS4XrQNL4LKb8kAlBwNAVnLzfUAd52ZdQB3jh7qCk4mgJAyi+JNB0mvcflC9mUpeRclUeL+weQtevENXmobHhc+CWRcJlH9q6TiHLm2fyjKWiCtAAU/5mGPq8U787NqDiXhaByQhAEctbspckwez01GdbVqqfc3w/gF9e2znsGje5Nzpq9AFj0BorlmVvRaAZRtK7yFF5DhsIb0JNJX03+oXOYq414NPXnvFwX+UdTcPZsoC7c1eTLPM7/kkiEbBPGCr21nJPaBVGOctGjYsk/doGyC9lUphdQlVdC+tr9hNbyh9D4LqSulHSUse4ggbKOzPpqCg9K71gbXs2DqbiUhy67GIVKScGhc4TVoduZiyslP0tfd5AmMt2w+C6krd2PxWCiMqOA8kt5+HaKtnu2SZ+2VKTlU5lVJL3XrpNEDO7M2V8TyTuWgkKhwNnTDU0tPWlkPeUdk/R09tdEImv5Tm0U/pmGe5AvutRcCrcfR+HqTO7v+2+ZLTUZ1pXMf+/k8olUzLrqG7ahsPgupMh6TFm5mzD5etToWNI3HKIyW9JRVVEZAMb8EnQnLuLeqRlVF7PRnUlD5e9NUT3xqTqzAN3pNLDUzUrp1j4Klb83l3cm17l3vejasT1enh5/+Xltp2gqLuVRmV6AxWi+Jfar7RRNeS2aIbVoBg/rwiW5rjPXHaRJn1o0q+r6RNR9/Ti9WF6lEEWCY9vcMr/2axdBqRxHMnccR+Ek7ZqoTcvWhlJ/SbTaSlh8Fy7Kbd7Fn3fbXU+V39E2vlmMZnzahqNLzaU6vxQUAnkbD9v5hCYqCGc/T1KXrAUg7/cD+F7DJwBCxg3g4mLpGe9O0ZRfzKEyvQDRaCbjOuoiQK6L0pNpVMk7JMrOZqJ0dUbhLG3AMsm6E5yUKFRO+LeP5Nyvcl0cS8GlgdihcleTL8eOc7ViR+xrD7B/3gq7XmTzUbHkJ12g3CbG3ioZIu/rxxkbezIUS10sW5+4orPgevilyfyybPiZ9QZrm6pwUV01pXj40C5csO0jNGC/Kvda7XcD7ZJa64kuNRd9Wk2/pm6M7VIrxkr9Gr/+MZSfSqf8VLpEu6QCLCIWvYEim/a6Kq8EY2mFlUduA32CbJnH9dqsSutBweZjwF/rBzQUw1s/Ek/OrhNUZhdReDQFJ43rNenejF/XwlhgA9IA0RcwAOfke5uBMXUU48B/BP8Vg0NBELoAk4AeQE/gMfm7HnYQRdEAvAr8WxTFjqIo/hv4AbhfLjIYSBZFsUD+PwLoDtwBfCYIgivSsvZlURS7Ad1kXpHXeMUQvdxZAqjKKUYtDyquQB3kw5UyotmCqVyHs9YDpcaF5lNHcOa9X+3KV+WWcOHTP4g/soRhxz/BXFZJ2a5knAO1GLJrZhENOUWoAn2v8XoSXKOCMZdV0uyLWbTZ9D6hcyaA/DkAV5v3k2QowjXIx/75IK2dDEZZBgBNU3/6bn6b2NWvou3R0u65jh9Opu+Wtwns1draqQSozClGE2jPQxPoQ2VO8VXLXA2eUUGkrT90TR46Gx66Bng0v68vmduP211zDdQiKBWUnUjFYjChzy7GJdC+rl2DtFRl2epJj0pr31kNGtmL7NV76vB08tTgER5Azq6TV32/65WhIag0rlTUqgu3Ws+71VMXtmW6zrybcQc/otnoWI7I9usVFYgmwBvv1mHEb3yLiLFx6HKKUdeyJXWgD7psibZotmAo0+Gsdb/qO2sCtXi1DOWu459irKgie8fxOnQ1gT5U2tA1lulw0bqjDqq5DpK+1LXkjRjZi0tr7Lc4ugX6UJFdROt7+pK+/XiDeqq4ip7aTRjCvQnzGfDeY7h4aeyeq8ouInB4D8pOpKLLKLxltiRtvaukydDO5CT+ecM2pPbzRJ9fCkgrOmo/TwA8ogJx9nJj6MrZ3LHhTaLGxtnRdA70xXS5Erd2kVQcPYchpwjnWrGwQQgC4a9NJH3ut9cu24jQBGrR2fjGrbBfTaAWfVYtmvXVRy3bvRpNladkS+1njWVowlvELnsGj6b+t8yvvZsHc/LLTXblnN3tP3mkrmVDldk1crnWsiFX2YbUgT727YDNM95tmuLZMYr+Rz8mdelvVJ7LsvOJoFG9MFdWWXUptaX1+0SO7BNOsp6az7qHXpvfpuXrD1Itb/OG+utCHeiD/hp1EXJHd0pOXMJiqNkF1+enWdx54lOMlVWYDUa7uqi4jrqwLRMxtDO63BKKTqfbPeMVKcVYr9ZhDN70FuF3x90SGa7YU7tZYxmc8BY9lz2Di7XO7O1Xf4P8tJ2iGbLjHYZuX8DRWV9ZB4u1oallG7rrtF/b2NZl5t3cK7dL6VuP2fdrsotwDazbr7GPsTpUWg/cooMQRZHuK14kbvN8op4aQW04eWrwjW1NxZmaif2qevoELkHaG7JZkLa7ho4fQOzWBbR/btQti+GaQB9EEWsMF83mGrqiyKCfXmTQypfsJiRu1q9tcB/wk/x3IdLRtisj6bHYf+z9HwGLKDTqzz8V/xWDQyAOWC2KYqUoihXAKqDPdT77FfCQ/PfDwNc2934WRdEiiuJ54CLSXuihwEOCICQBB5BmN5rfvAj1o9WMMVxYth6zrtruusrLjaBhXUjo/iwbOzyFQuOK7139boqX4KTEvXtrMt78hlO3z8ClaRP87hlwUzQBqvNK2dLlaXYNeYk/X/uezp88jZO7GoBjTy5l54BZ7Bn5Bi7ebtbtm40Bv07RiGYL5ekF1y58DcQ8cyeiycLFVbU63cG+eHVqxsnpN34W6gq8OjfDoq+2a1BA3sby2TNUZBSgl2d2/8k4vHAlP3V/lgur99Jm0hAAFE4KaXC74wTbxy+g3XOjcQ3wumU8c7Yns7rTUyidnfCqtXXnZqBQKQkZ2pn03w/UuddyTBwWs4Vz9Qzmr4WT32/hx7gX+Hf8bHT5pcS+cr/dfScvN1q+Mv4v21NDtgTQfPpYLi3fSMUt8Icr/QSFUoFvTCTbHnqPLePfIea5UbhGBVnLCS4qvPrEcOnVrzDbzOJfD5pMHEbJtqMYcoquXdgBBCcFmhBfCg+dJ2HoHAqPnMen+c37xBW/1uWWEHF7t1vwphKuZwuVobicvPWH2NXzOYLv7YuTp9ruftCoWExluqvS8OrcDLONTwhOStQhvpQcOse+IS+hS8lG2zn6qjSuBc8WIcTMuY8jM+2PUOwe9w6/d5Tik6vPX1+9dnJ1ptPUOzn0/i917imcFHg2DSBvxwl2jVtA6+dG4+p/4zG2tgy29rRl6ByKjpwn5rX7r0Hl+lB8LIXN/Wex9bZXaPX0nXVWoG8ljixcyb/ldin0JvobCqUCbY+WHHvyY/be+TqBt3fFt0/Nip+gVNDps6fJ35pkXTX+q6htswBlJy9x/OlPOHDn6zTp3hL1TbajV/xPEAQ8o4OsMdw9zB9NiLTAsGnUm6yPn8PhOd+jCdISUGui/2p0rwV5FbE90vf6QFpDvg/4ADgIlAN/w9ewHbge/FcnpLkeiKKYIQhCniAIA5FWCW2jXW2zFgEBeFoUxU1cA4IgPA48PmjQILfFL9WccXEN0qK3mc0B0OeUoA72pSqnGEGpwMlDg6G4HJ9OzQgZ3oN2r4xH5alBtIiYq41UF1xGl56PQZ7hLNmwH/euLSn8daeUTEaGc5Avxtzr60wZcorQ/XmJ6vQ8AEo3HcCtc0tYsZUq+f1qZPClKqfE7vmqnGI7GVSyDAAWg7T95PLxVCrT8nCLDuJy8kUCb+tK0/sHSvzOZeHXIcpKzy1Iiy7XnocutwQ3m5WG+srURqsJg2lx/wDUgT5cTsnBzUaOhnhobHhoapVpdk8fwgZ3YuM9b9s9pwnSEjn5dirPZ6FLk3SoDtZSnWtf11U5xbiG2OpJjbG4ZqY6eFQs2av32j0TPmkozWfdDRaRtI1H0NjIUPv9rkeG+tBywmCa3z8AZ283jJVVuAf7kmejp8paz1fWUxe1ywBcWL2XYd9N5+j7q6jMKSH34Fm8ArUYiivIP3AGn7bhXK41eNHnlqAJlvxEUCpw9tRYtzA1BF1uMZpgXyzVRjI3HaHZQ4PJSjhaRy9uNnRVnhqqiyvQ50jXbfWlt5EleGAHSk5coqqwjBYTBxN9/wAsQHW5jpCo1vwcP/uqenJvQE/6wjLr9VP/2s7t30yz/m8xmvEf2JFD98xDl5ZH0MieN2VL4ZOGEvaA5GsKV2f06flcWrYBnJxu2Ib0hWWoA7ylGecAb+v2UV1OCdUlxzHpqzHpq8nbfwZNmwiqLuYgOCkJfPg2TMXllGyQBtnOQb4YasXChuDRpSUePVoTOGEYCjdXBJUT5soqMub/cF3P3ypcsbMr0ARp0deKhTdqv7rcYtQhtWjWVx+1bPdqNA3FFZh0VbgGeDF083wUKiVOaueb8us2EwbTarw0YVh48hKhNkcH3IK0FMrnoez0YEsruEauqlo2VC3bkD63BLdgXwrqeUaXK7VD1XklVJzJwLtrCyrOZABSsg7BSYnuUh7qEF+qrW2pvU8EjYolxya+GovLMemqyPvjIAB5Gw4TMKKn9X59daHPLUHdQF2og7TEfvU8B5/5jMq0fLvnoicOIer+ASh9amLsFbhfR11cKeMZEYBnmD93b5pv1f2YDW+xasRrVOSUkHPwLD5yjC3cfwbvduGU1RNjb0SGK/aUJe+8yfz9AJHj+su07O1XfYM6u4Ly89mYKqvwahVKSbKUKK31hMG0vGJzyRft2m/NddpvfW1fyuq9tBzXn+rUXOs112BfqnLr9mvsY6wGY3E5+pxiivedsdpW/pYkvNpHUrRbOg/d/v3HqEzNJXv1XlpOH2PDo26foDqn+LpstumkoYTKMfxyUgrqEF9KD54ldc1eur7+wF+O4e2m3omT2pnhCfOoKiyjMrvIGsMtRjOuPtIK75U6vXw2E7PBhG+naPIPnL1pvwZoOqIHwGrAdn/8PmoWeoYCLfiH4X81W+l/y8rhbmCUIAgaQRDcgNHytfpQDtSesluOtL10pSiKtjMTd8vnEKOBKOAs0qzGFEEQVACCILSQedaBKIrLRFHsumXLlvbhzaLQNPVHUCkJHdWL3IQjdmVzE47Q9B7JB4KH96BwjxRgEkfNJaHbsyR0e5aULzZybvFaUr9KQJ9ZiE+X5ijVzgB4xsWgP59JZdJ5XCKDcA4LQFA5oR0ZR0nCIa4HlUkXcPLS4KSVt4j1bk/VOanhLU1KwS0qELUsQ3A9MuQlHCH0nr4ABNnI4OzrAQrJgTRNA3CLDESXloegVJC9dj+7Br/E7mFzpJlJOZD5d47GUKazbk+4An1+KYZyPf7yzG702DjSN9m/R22c+XYLv8XPwWIwceb7rTSTt7pdjYfRhkczGx4h/WNoP2U4WyYuwiyfxwQpCcCQ76Zx6rXvcPb1sOopaFQsebXeL39TjZ4CR/SgyDbDmCAQdGdPstfYDw5dmnhTvOcUW9pOJn3TEaJlGfw6R2O8igx+NnrKuIaezn67hXVDZ5P83q+UpefTXOYR0DkaQ3kDdVGhJ0Dm0XxsHGmyTXhGNrGWi4jvbD2blLbpCB6h/nhEBuLZPBjfTtFoO0SSWcuWshKOEnm3pKOw4d3JqycLmy2cNC7osovxiAzEPaIJwUM64xbiS2atwWFWwlGi7pb8rOnw7uQlSmdDMhOOEj6yJwpnJ9zCpPcrks/5AISPqtlSeu6bLWwYMpt9C/6NZ5g/FdnFmKoMNOkk6UlXS086WU9N5DOMLcfEkSrLa3vGKHJYV4rlc8XOnhq6Tx+DuUJPVV7JLbGltK8TSBz0Ivmbj2IsLrfOfP0VG8pMOEq0rMfou/tYr2dsOkJA95YISgVKV2f8OkWjP58FQNT7T1Fx9AKCSomLHJ98byA+XZj6Ice6TeZYjydIn/sthb/s+NsHhgDFSRfxiAzELcwfhUpJ05E9b9p+66OZVauuszcdJUKu69DroAmQnXCMsnNZJAx5mTOf/EHxuayb8uvMXSdYFT+bVfGzMZbrUKiUdrRMlVV1aNnaUGQtG4qS27yoe/rYXY+0iW9XYrQmSEvpmQw0UYG4tw3Hp3srvDpEkS8/F3RXb3JW7yF/0xGCZT01qccnAu/saXd2C6Ag4Sja3m0AKdGHAGjCpBgeNrIn2deoi3yZh8pTQ9z30zkxfwVFh85Zyys1LrgGeJPyzWa2DJtD3tELZO8/Q4sxcl1cJXYYK/QEyLGjxZg4LiUcofhMJt92eoofY5/nx9jnqcwp5tfb5qAvuMylBCnGukcG4tE8GG3naLQxkTctA0j25B/bWnrnuHaUn5N8uyTpIu6RgXY6y6nFL2fTUcJlfiE2/DRh/tYENJpQPzyaBVOZUbOb4fS3W1gTP5s18bNJ23jErv02NmC/xgr79ru+dik8vjNFp9Lq9Gtqx9i8WjG2UH7vgu3H8WgdhkIt5X3wjW1NhayPFi/eg5OHmlNzvuPysRQ0NjwCR8VabfYKrtdm079OYO+gF9k39GWKEv8k+O6+CE5KosbG3VQMRxQ5/eUm1g2dzYUVO2nSqzWCUkFAz1bS+f0jF1CqXXByk7aNG8r1KF1UWExSd/lm/PoKIkb1gpotpVcQIP92AWYBfy29tAO3HIL4T06XYwNBEF5A2hYKsFwUxQ8FQagQRdG91qcstEgDPBXwtiiK/5YHekVAd1EUz8j0vgGqkPY7ewIviKK4ThAEBfAWMAJpFbEAGCWK4uWrvd+++xeK7eU0z2k/7eDcR2tpNXMspUkXyU04isJFRZelT+LVLhxjaSWHJi9Bl24/69hq+hhMlVXWT1m0mjGGkDt7IZrNGP5M4dL0jxENJrwGdqbpG4+AQkHhv7eSs/gXgqePQ5d8gdLNh3Dr0IxmX85C6eWOWG3EmF/CyYHPAuDZpwNhr04EQUB3IoVLMz9FNJrINbsSMKgjbefKKZ9/2sH5j9bQcuZYSpNSyUs4gsJFRaelT+LVLgJDaQVHZRmC7uhOy5l3S5m8LCJn3/2FvM1HUWpciF39KgqVk0Rz958oVEqC+7XHrDeQ+MIy62cW7kyYx29DpdUZ35hI4j54XErNvD2ZA3O+A6DpsK70eOshXLUeGMp0FP+Zxub7FwIQ2Ks1XV6+l3UjXqfnvAmE9I/BrDew+yo8+tjw2C/zGJP4PkoXJ2vK8IKjF9j34td0eHYk7aeOQH8xFyd3NS5BWqrzSsn4cSspH66h+cy7uZx8kfxNkp46LH0Kz/YRGEsrODZ5MXp5dlYb24aWc8ax7/ZXrPXuGqRlYNInVJzLwmIwYhIEqksrcQ/xxaQ3sNdGhuEJ81hnI0PsB49Lqaa3J3NQliFsWFe62+ip5M80tsh6umv/B6jc1SicnRABQ2klhnIdO19YRqHM465N81glr5T5xUTSb5HEI2NHMntlHoOXPYNXlHQmoyKzkMSXvrbOWMY8cQftJg3B1d8LU0UVZ5Zt4NTitbSfMYbi5FSyZH/otXgKPu3CMZRWsmfKEirl7Y8jDnxofUfjZR3bxy3AUFJO3++m46L1QB3og7nKyOnP/uDkh2uJmTGGIhu6sYufQNsugurSCvZMWWrdVtn2mTuJvq8fotnCkVe/J1s+T6pUuzD60Ies7fUCxvKa7UHD976P0tkJpaszzu6uGCur+f2BdyiQ9XTPxnn8PEzSk39MJANlPaVvT2b3K5KeBn34BH5tw0EUKcssZOeLX6HLL6XLMyPp/NQIjPmXcQnSIghw8dM/ODd/xS2zJWdfD5w81OiLytnx8Ac3ZEMuPu70/exp3EJ8qcwsZOcTSzCUVkp6fOIOou/ti2ixcOGnHZi/WI1H91a0XTOfylOXULq5SmcPSyvI/Xo92Yt/JXTGfVQmp1CSIMWnFl/OwsnbDUuVEWNBCccHPGcXC/3vGYBbh2jrpyy6HH+P68WM1xZw6NhxSkvL8NV68+QjDzJmRPw1n/slpkaPQQM70PkN+bMTK3betP2Wnc8iZECHmk9ZrNjJ6Y/W0k6mmS3T7LlkCt4yzX1P1NAcfvBDnGxo7hy3gLJzWWhC/eixZArOnhqqi8rYOu0LOjw5nLD+MZiqDDft19UlFQR2b4nZaMLFxx0nF2ewWFBqXPil7RSMFXq0MZHEfijF0uztyRyaLdFy9nGnzxUbyiqUUt7LNtRt/gSC+8dg0huklPfHUwns244ur47Hxc0F10AtpnI9l75Yz8UP19Bs5t2EPTiIg6Pnos8oIGbpU3jIPpFcyydazBnHfhufAHAN9SNm6VOovDQYispJ+SWR1s+MlD7LsGInZz5aS1u5LnLkuui+pKZ+98t10fq5UbR6egQVF/OstHfdtwAEiPt+OgpnFYJCIH3fafa+8QO933hQqgu9gR3Tllljx9iN8/jFJnYMWCTpL2N7Moly7LDF/Xs/4Nc7XrG2Sx0m30GHSUNwkWPsuWUbblqG6qIyNKF+dF8yRdpxUVTG4eeXWc/KBQ7sQAfZfi/JOmszYwwltfhdsd8DMr+mY+NoOXUEotGMKFo4vWg12RulAcVlZd1VmV5vTSBUtt/dNvY7atM81tjYb19ZZ5k7ktkn2+/AZc/gbWO/e176mugWobSRP9GV+dMOLny4hhYzx1KanGqNsR2XPmmNsUcnL7HaU8iYOKKfGQmI5G9J4syb/8I1SMugpI+pOJeF2SAtgpXsO4X/wE4yj+1Wm72cfJECmceN2KxS40L3Na+hDvPHyV2NoULP1gffpSjpohQPbjKGD1vzKr4dosBi4cy3mzky9yc8w/wZvv0dyuVdIHn7TtOkZ6ub9msAt1A/4te+iiZIqwRsD5y+CwxHWqj6FPiwjkH8h3Eg+K5GHST1yF71j1ya/K8ZHN4MBEHoCnwgimIfm2vfIA0o627q/wtYEzi+URUZory5Pe3XQq7Z9dqFbhJFSmWj82hsa25iavxP8BQ6Nf5u7+pGDkfulsaPKxYaV4jLjW+uRBj+++2phXj1M2C3AjcyOPyrsB0cNgYUf0NTW1ZPZ/tWQ11/LpFbBj9z4/tEuaJxnbvIqfHrwdfU+AbV2FLUNzi81Qg0Nv4xNmUj9zzy/4Y+wd8Rnx7I/uEfORC6Gv5XB4f/788cCoLwIjAF+7OGDjjggAMOOOCAAw444IAD9eL///JZ/fh/PzgURXEBsKCe6xP//rdxwAEHHHDAAQcccMABBxz4Z+L//eDQAQcccMABBxxwwAEHHHDgRvBP/hZhY+K/JVupAw444IADDjjggAMOOOCAA40Ix8rhLUK4c2Wj0nd1MV670E3ArazxPkp7BVpz48oAcEnRuIl1jrs2vsu0qG7kjA9AjMvVvyl4sziAZ6PSB/A2N+5pgIfGN24SKIAvftI0Oo8nPuncqPT3PbK/UelD4yeLARh7/M1Gpf9jh1cblT7A+CmNP9+74tPGjU/NtVf/XuutgNrTcO1CN4EjFwMblT5AvxHX933jm8EPGwOuXegm0NjJjQBi++Y0Oo/PD4Y2Kn3fv+HT8J5/QxK5/0Y4vnPogAMOOOCAAw444IADDjjgwP8sHCuHDjjggAMOOOCAAw444IADNvgbFrf/kXCsHDrggAMOOOCAAw444IADDjjwv7lyKAjCXlEUYxuLvke/ToS+/hiCUkHRis3kffKr3X237m0Ife1R1K0juDT1PUrX77XeC355Ap4DuyIIAmWJyWS99kUd+m59utBkzmQEpYLSnzdRtGyl3X3tpNF43xOPaDJjLr5M9ksfYsrOx6V1FIFvPIXSXYNotlD46b8pX7/rmvJoB3Sg+VuTEJQKcn7cStqStXb3vXu2pvmbE3BrE86fkz+kYN2Ba9L0HtCRqDcngVJB3o9byVq6xu6+Z8/WRM6dhFubcM4+8QFF66RzTS6hfrT6aiYoBBQqJ3K+3EBVRr6VluanXZxa+rsdLYWzE7GLn0DbPpLqknISn1hKZWYhAG2njiB6XH9Ei4XDc74jZ+cJ63OCQmDYxjfR55SwY8L7djQHv/4gMff0Y1GbR+tcjx7QEaO+mj+mLyPv5KU6svedcTft7orD1cutzvMATQbEEPPmQwhKBZd+3M65euTpumQK3jGRGEoqODh5MbqMQnw6RdPp3Ufklxc4896vZG84DED8oY8wVegRzRZEs4W0O5+z0vPo15mQ1x5FUCopWpFA/qe17bUtIa89irpVBJeefpfLNvYa9NJEyV4VAuW7k8h63d5eY+c+SNOBHTHpq9nx/DIK69GHX/sI+n8wGSdXZ9K3JbH31e/t7sc8fhu9Xr2fb9s/QVVJBd7RQfRf9Dh+7SMxlukwluu4+K8dnKlHTz0WT8EnJgJDSQV7Jy9Bl1lIk77tiJl9HwqVExajieS5/yJ/zykA2r94NxFj+6DydqN67ng7esoWnXC582EQFBgPbcG4Y7XdfacuA3C5/SEsZcUAGPduwHRoC4qgCFxGTwZXNVgsGLf9iun4Hutz/d94kEjZZhKmLSO/Hh0FtI8g/n1JR6nbk9jxmqQj/zZNGTT/YZQuKkSzma2zvyEv+SJRQzoTO30sokXEJcQF4587sJRks+dMOgvX7MViERndoxUPD+pkx+fdtXs5dCEbgCqDieIKPYnzJgHQefoymgVppXr3duejR4bVec/aaIzYEdQ/hs5vPoigUJDy0w5O11PvPRdPQds+guqSCvY+sYTKzEKcfdyJW/Ys2o5RpP68iyOzv70mr/owZ/4idu05iNbHmzU/fHZDz3af+yChsj8kPr+M4nrq2rd9BHEfTEbp6kzmtiQOyv4QPrw7HV+4C+/mway74zWKjqcCEDU6lnZT7gDA1Q8UAWFUffkqgpsXzkMfAEGBKWknxn3r7Pg4xcThPPA+LBXSGT/T4S2YknaiCG+N85Aa21f4BlG9+hPM545ar/Wc+yBhshy7nl9GUQNy9JX9OmNbEvtlObrNGUfTwZ2wGE2UpeWz+4VlGMp0uIf6MWbHQsyXMgCoOn6Gyq178XvxCQSlkrJfN1D65c92PLweugvPMcMQzVJbV/DKIkw5+ZJektdjOC+9lyknn9ynX6+3Tlx6dMPruamgVKL7/Q8qvv/J7r5m1AjcxowCswWLXs/ld97HdCkNwdMT7bzXUbVuhX79Ri4vWmz3nP+ADrST43j6j9u5sPQ3u/sKZyc6LnnSGsePTP4IfYbULnm0bkrMu4+g8tAgWizsHjYHS7WRVi/eQ+jdfVF5u6F77k4rLWXbrrjeNwVBocCweyOGjf+uV1anznFoprxKxVtPYUk7j+DbBPe5y7HkZQJgvniaqh/s5Yh740HC5bre+kL9Mdy/fQQDF0l1nbYtiUQ5PnV7/i5aj+9PVVE5APvf+Zn07ckA+LYKY8CCh1G5q1H7e2Eo02HSSX7RkD31sfGLA7I9Rdj4xe82fqFQKYl95xE8e4UiWizov16K6VRSjS46dkczaSoolFRv/YPqNf+qV2eqHn1xnz6XslmTMV88W2+Z2riZfkBY95YMeu1BAlqFsfbppZxdfwiAXjY+t7MBHfm1j6CfrKOMbUnsk3XUZfpYwuM7g0VEX1jGzhc+R5dXCkBQr9b0ev0BXD01uPh5os8tuaH21NnHndgvpLh66d+7OCrHVSc3VwauqTlnrQnWAnwIPHddSvyHQMRx5vD/PQRBcAJozIEhCgVhb00mZcIbnB40FZ87++DaPMyuiDG7kLRpH1Gy1n5g5talFW5dW3Nm6LOcHvIMbjHNcO/Zrg79wNefJOPRV0m57Qk8h/fDuZk9/apTKaSOfpbUEU9RtimRJjMfBkDUV5M9430u3j6FjEdeIXD24yg83K4hj0DLBY+QPH4+B/o8T8Do3mhahNjzyyrk1LOfkLcq8bp1FPX2o/w5fh7H+j6P/+g41C3sD3RXZxVy/tmPKVhtT9OQV8rx4S+TPHgGybe9RMjTo4he+LiVVsTInng2D7Z7JnpcfwyllfzWexpnvthIpzn3AeDZPJjwkT1ZN2AW28YvpNvbExEUNYGg5aPDKDufXef1A9tH4upVV29RAzrgExnI5/2msfGlL4l/a2K94l/YcpRvR75W7z1BIdDh7UnsGb+QzX1nEDo6Fo9a+o4YL8mT0OsFLny+gXZzxgFQdiaD7fFz2Db4ZfaOe4eO7z6CoKxx8d1j5rFt8Mtsj59TQ0yhIPTNyVyc8AZnBj+Fz519caljrwWkT/uIkrU77a5rZHs9G/8MZ4Y8jaZDczt7DRvYAa/IQFbETWPXrC+Je7t+ffR5exK7Zi5nRdw0vCIDCRsQY73nFqQltG97yuXBPEBVaSV7Xv8Bs66aiz9uZ2O/mYSP6oVnLT1FjeuP4XIl62OncXbZBjrIeqouLmf3Q++xaeCLHHzmM3osmWJ9JjvhGJtvrydxiKDAZdRj6L96C92iZ3Hq0AchoG4SAuPxPeg/mob+o2mYDm0BQDRWU/XvxegXPUfVl2/iPOJhcJUS0UQM6IB3RCBf953Glhe/ZOC8+nU0aN4kNs9aztd9p+EdEUhEf0lHfV4ex/4PV/HjbbPZ+/6v9HlZkjFjz5/8EP8yP942G0NyAqoOQzFbLLy9ag8fP3Y7q2bew8ZjF0jJtU/+MWNkLD9PG8vP08YyLq4dg9pHWu+5qJTWe9czMGyM2CEoBLrMn8iO+xeyvv9Mwkf2wrN5PfVeWsm63tM4+0VNvZurjBx/dyVJc+vvBF4vRt0+hM8WvXXDz4UM7IBnZCCr4qaxb9aX9GrAH3q+PYm9M5ezKm4anpGBhMj+UHomk+2PfUTefvsO6sXVe/lt6Gx+Gzqb6rWfI5YWYMnPwHnYQ1SteA/95y+ibNsTwS+4Di/T6QNULX+FquWvYEqS/NuSdtp6reqHBWA0YL540vpMqCzHyrhpJM76ktgG5Oj99iQSZy5npSxHqCxH9q4TrBr0IquHvEzZxRw6TB1hfab8Uh6ZY58kc+yTFL61FP85T5EzZQ7pdz6G++0DUEU1teNRfTqFzHufJvOuKVRuTsR3Wk0nW6w2WGk1NDBEocBr+rMUTXuR/PETUQ8ehFNEuF0RfcJWCh58hIKJj1Hx4wo8n3lSumEwUP7FV5Qt/bQeugLt357EgfHvsL3vdIJHx+Jey/bDxg/AWFrJtl7Pc/Hz9bSeIw3IBaWCzh8/xYmZX7Kj3wz23vUmFqMJgNyEo+y+bY49L0GBevxUdB/NpuLVx1B1748iyF5PALiocR40GtPF03aXLQU5VM6dQuXcKXUGhk0HSDH8xz7T2DHrS/rNn1ivGvvOn8SOmcv5sY8Uw5v2r4nhx5dv5Odhs/l52GzrwFBQKhi8eAp7X/yaw2/9RPGfaazqM529V/GLXm9PYs/M5fxayy9KzmSy7bGPyK3lFy3GDwCgbNrDVLw5HfWEKSDI7btCgeaRZ6mYN4uy5yfg3HsgilD7egfAVY3L7WMwnTtV7zvVh5vtB5RlF/HHtM85tbZmEvZKW/qz7HMNtaW9357E7pnL+VluS6/43PHP/mDVkJdZFT+b9K3H6PzcaACcPTX0njeRhEc+QDRb2Db6rRtuT81VRk4uXElyrbhqqqwiYcjL1h95Qn7VdajQgX8A/mODQ0EQIgRBOC0IwheCIPwpCEKCIAhqQRCiBUHYKAjCEUEQdguC0EoQBKUgCKmCBG9BEMyCIPSV6ewSBKG5IAivC4LwvSAI+wRBOC8IwmPy/f4ynd+AU/K1Cpv3mCUIwglBEJIFQVggX6vzDtcrl6Zjc6ov5WJIz0M0mij5fTdeQ7vblTFk5lN1Jg3RYr+bWRRFFC4qBJUTgrMTgsoJY2GpXRl1TAsMadkYM3LBaKLsj114DOplV0Z34DhiVTUA+qQzOAX6SXwvZWFMkwY7pvxiTEWlKLVeV5XHs3MzdKm5VKXlIxrN5K/Zi/+wbnZlqjIKqDyVDteZ7cqjUzOqUnOpTs9HNJooWLMHbbw9zeqMAnSn69GR0YRokBpKhYsTChcV1RkFVlppa/cTFt/F7pnQ+M5cXLkbgPR1B2kS1xaAsPgupK3dj8VgojKjgPJLefh2igZAHaQlZFBHLvxrhx0tQSEwYPY4tr+9oo5czYd04eSvUic3+1gKLp5uuAV41ymXfSyFyvzSenUT1DGaytQ8dOmSvjPX7COoljxB8V1J/1mSJ2vdAfzjpAGZWW9ANEv6Uriq4DqqQ7LXHAwZNvY6pIddGcleL9Wt39r26qS0s9eIoV0494ukj/yjkj40tfShCfBG5a4m/2gKAOd+SSQivqv1fuzrD7B/3goQa3hXFZWhEASqSyowlFZgMZpJX7ufkFp6Ch7WhUs/SxMwmesO0qSPVO+lJ9OokmdNL5/NROnqjMJZ2kRRdPQCVfXUjSKsGZaiHMTiPDCbMCUn4tSme51y9UEszEEskjLmieUliBWXEdwkv4se2oXTss3kNmAzbgHeOLuryT0m6ej0r4lEyzoSRRFnDzUALh4aKvOkwZ5RV219XlCqQBQ5mZ5PmK8nob6eqJyUxHdqxo4/LzX43huOXWBYp2bXJWN9aIzYoe0UTcWlPCrTC6z1HlrH37uQulKq94x1BwmU/d2sr6bw4DnM1TeXNblrx/Z4eXrc8HNN47uQIvtDwdEUnL3cUNeqa3WAN84eagpkf0j5JZGmw6S6vnwhm7KUq2dedGrbE9OpAyiCo7EU5yOWFoDFjPnUfpxa3HjWWqfW3TCnHAdTTXbP8KFduGArh2f9cqjca+S48Esi4bLNZu06aY1T+UdT0Mir0bXh0r4lxvRsTJm5YDJRsWEHbgPt27qqQ8nWtq4q+TTKJn43JJ+qTStMmdmYs3PAZEK/ZRuufXrblRF1OuvfCrWrNRaJVVUYjp9ENNTNfOrTqRmVqbnWOJ69Zh+BNnENIDC+C5lyfMqxieP+/WMoO5VO2al0AIwlFVb/KD16gepa8UkZ2RJLQTZiYS6YTRgP7cSpY935b5dRE6QVReP1Z2qNHNqFs3J8yjsm1XV9MdzZXU2eHJ/O/ppIZC1ZayOsb3uKTmdQciqdpvFdOPfTTkSLeFW/UHnUsqdr+IV3ixBy9vwJgFhWilhZgTK6JQDKZq2w5GZhyZfq3bhnG85de9ehob7vEarW/oR4Azq72X7A5cxCCs5kINrExPChXThv05Y25HPONm3peZu21FhRk3nbSe2CKNtw9KhYLm04hCbAm/JLeZQkX7zh9tQaV6sajqvuUYG4+noC7G6w0D8UFrFxf/6p+E+vHDYHPhZFsS1QCowBlgFPi6LYBZgOfCKKohk4C7QB4oCjQB9BEFyAMFEUz8v0YoCBQC/gVUEQrkyVdgaeFUWxhS1zQRBuA0YCPURR7AAslG/VeYfrFcg50BdDds0qhyGnCFUT3+t6Vnf0LOV7T9Du8Ne0P/wNZTuPUX0h066MU6Avppwa+sbcQpyuQt97bDwVuw7Xue4a0wLB2Qlj+tU7Gy6BWqqza1JmV2cX4RJYf2N+vXAO0tbRkUsDHYR6nw/2peO29+l65HOKNx+hKrVGBl1OMeogH7vymkAfKrOlrX6i2YKxTIeL1h11UM1167OB0rNd33iAY2/9ZBegAbpMGMqFzUfrDeoegT6U2+iqPLcYjyY+dcpdDR6BPuhtaOhzilHX0o1rUE0Z0WzBWK7DWSt1Vn06RTN450IGb3+HpJlfWjthiCJxK15kwKZ5RDww0EpLFeiL0daecgpRBV6/vVbsO0G7Q9/Q7tC3lO2yt1e3QB8qbWSpzClGE1hP3eQU25Vxk8uED+1MZW4JxafT6/DWBPlgLK/ptNnWnS1tXa16d9a625UJvaM7JScuYZEnHBqC4OWLWFoji3i5CMGrrs06teuF+rlFuD4wA8Grrh4Voc0QnJwQi3MBcA/0oTynhm5FbjHuteRwD/ShIre43jI73/iBPi+P49H9H9F3zjgS36nZThYd35UJ2xbi3H00xuQE8i/rCPT+P/bOOzyKqmvgv9mW3U2vpJNCL6H30Amg0hRQQVGxIYIiIkXAhgL2AtgQu4gFEZDeS+gt9JqQhPTeN9k23x+z2ewmoUni6/t++3uefSAzd86dc+49586dW6ZK/wbuzmQV1v4JnrS8YtLyiulsMwqvN5oY+9EfjPvkT3acvlq7oWyoj9ih9feizEZmbf6uqVbu+lrK/T+B9m/6Q/U0N0LRogvGswcQXD0Ri23qa1EegmtNOfJmndA8+RZO901GcK2lPrfoivGs/adKqutRZuOzlTjfoh5NHuhFys5T1r9dQn0J/v1TAr99D03Xdhgzsq3njJk5KPyu3/lzu28wZXuPWP8WVCqCfl1M0PKP0VbrVFYi9/XBlJll/duUnY3ct2Ye2vtG4Pf7T7g9O4HCjxZf9x4qsY3RAOXpuair1VN1gFetcdw5IgBEkS4rZtFrywIiJw3lRggePpjzquwk5mcj87CPPbLQRsg8fTGePlzjepmPP86vfIb2pfeRN7afqeTs70lJtTpbW1mXXCeGA7R6NIYHtiyg7/tP4eQuzZjwiPBHFEUGLp9B+LCuNOjSxO762vyiLN2+rb6ZX+SdSyZkYHuQyZH5+SOPaIrMW/o0h8zLF3Nulc3MedkI3r5218vDGyPz9sV4/PY+1VMXzwHVudVyuF5bCtBxxmjGHP6ERvd259j70tIR9wh/VO7O9HzvSTyjwgkbHQ38/fb0eoQO70by2oNwS6+s/12YEer192/lP905vCqKYpzl/8eAMKA78LsgCHHAl0CA5fxeoJfltxCpk9gJqGoNYI0oijpRFHOAnUDlq/3DoijW9jQzAPhWFMUyAFEU8wRBcLnBPdQrqob+qBuFcLbLE5zp/Diu3Vvj3LnF35bnNqwvmtaNyVu20u64wteTwPdeIm3WR3YjMv8t6NNyies3jePdJuPevSWCWlWn8oMGtKU8p4i804l2xzUNPGh6T2eOfrelTvOrS/JPxLOt9wx2Dp5Lk+eHI3OSvl+5e9gb7Bg4h/0PvUPE+BicO7e847xUDQNwahTM2a6Pc7bLeFy7R+Hc6e/XV1sUahXtnhvG0fdX3jzx38StSRBt5j7I0Rlf14k84/kjlL09Ad3HL2K8fBKn+5+3Oy+4eqJ+cArlvy+pM7+LGtef3fOWs6zrFHbPW87A956ynovffJTv+81Af3QNiqa3N5N+c1w8A6LCkcuqmogNcx/i56kjWfhwf95bs59rOYV1ooODusGnXSQY9IjZqbeU3ng5Dt2SF9Etm4vp6lmchj1td15wcUfmG4wp4fR1JNwZbZ4bhtlkJn6VtP62LKuAXzu/QMroSeS89yUeD48Axa1ti+AypB9OLRtT8G1VvEgaOI7UB54jc+bb+Mx8BkXI32/Gy1atJmv0wxR9thTXx8b9bTm3gqCQ4dWlKScmfcq+4a/jf1dHfKLvIF4LAur7J1D++9Iap8TCPEpmPkTpm89S/tuXaJ582TrlvS448+M2lke/yK+D5lCWVUD3Vx4CQKaQE9CpCbsnf0bW0cv4d2lGwJ3oWAuXf9lNWXoeru98ieaxyZgunoFqM5GuiyCgeXQSuh9qmTL8X8rRd39nRecpXPlzPy3GxwAgU8jwiQonbslaMnacpMUL9+ISUfff6Awd0Y3k1ftvntDBv4b/9IY0FTb/NwENgAJRFNvWknYPMBEIBF4FpgN9sB+mrv7EVfn37XyhXnaDe7BDEISngacB5nhGMdIlDH1GLqrAqjePqgBvDJm39rFaj8HdKD1xEXNZOQBFu47j3L4ppYer5rsbM3JRBFTJV/r7YKxFvrZ7W3yefYCksTOt0zABZC4aQr56g+yPvqc87uaLqysy8nAKrHoL6RToTYXNKMbfQZ+eV8NGFem3L1OfmY/uciraplVr5LQBXujS7ddRlWXk4xzohS49D0EuQ+mmpSKvBF26dNzu2ox8gge2J3hgewL7t0HupETpqqH74okkrj6AZ8MGPLNb2pxGqVHx/PHPKLas20o/lYCrja1c/b0ozry9DzoXZ+SjsZGhCZDu25bydCmNVR9XLfq8Yns5l9Mwlpbj1iyYgpNXKbfcY0VOEekbj+LWtjGlh89iyMhFaVufAnwwZNxafXUf3JWyE5eq6uvOY/g+NYLgN54mGDnZJxNwttHFOcCLsoxaysZmZNQ5wIvSjHzcwvxwC/Fl1JYF1uP3bXqLP4e8hi67kLL0fJSuVQ8xlWVXXba2Wrnr80qsdo3+ZiqHnv+C0qQsboZYmItg8zZecPdGLKxWZ8uss9UxHt6G0902D5FOGtTj51Cx+WfkQRHSBjVA6e5EXAOq5Lr4e1FSTY+SjHxcbEbcbNO0GNnTujnNpXWHGPBOzQ2OzHmpCFp3/Lw9ySioWm+UWViKXy1rZwE2nbjCy/dF2x1rYEkb7O1Gx8hALqTmEuJz/Wnp9RE7yjLy0NrIrM3fddXKXWVT7v80MrUbMrU0qq/LTPpb/lA9zfUIH141yicW5yO42tRXNy/E4mpydDb1NW4Xqn4P2J2WN++C8dIxMJtQdOiPol0f6bLt9n6ttfisLaU30aPx6J6EDmjHhgcWWo+Z9UYq9CXgAfpzVzCmZ6EKq1rXq2jggzGrapZDJZqu7fB8egxpj70EhqqpbaYsKY4ZUzLQHTmFU7NIjNfsZ8qYsnOQN6j60Lvc1xdTds08KtFt24H79Beue76SyhhdiTrAm/Jq9bQ8PQ9NoDfl1eJ4eVoeuQcvWGN61vY43KPCyYk9W2teYkEOMq+qUS/B0xezzSwH1BpkgWE4v/SedN7dC+3keZQteRVz0mVEo2Qzc/JlzNlpON09BkUraTpiyt5kXKrV2drK2qWWGA6gyymyHj/3807u/m4aAJ6Ng1C5aRn068vkxCVgKC3Hu1UY6bFnr+sXttOPtbfgF6LJzOHXlxO4RZrN4vrWEkzp0mZH5rxsZDYjhTIvX0SbkUQ0WuQh4bi8/rF03sMLl5nzKXlnTq2b0rR/ZABtHpTWONbFcwCAV2QAfbs2p/vkEeSfTMAl0JtMy7nrlUNtbWl1rvy5n8E/vMTxD1ZRmp5Pef4pipOycPJxI/vgBTxahN52e3ojPFqEIpPLyD+VeNs2+Dfg2JDm30ERcFUQhNEAljWGbSznDiON6JlFUSwH4oAJSJ3GSoYLgqAWBMEbqeNoO6pYG1uB8YIgaC35eYmieKN7sEMUxaWiKHYURbHjSJcwAMpOXsYpPABViB+CUoHn0J4Ubq05laM29GnZuHZtBXIZKOS4dG1JebVppbrTl1CFBaIMbgBKBW739KJ4u/20B6cWEQS8+RzXJszDlGfzdl+pIPjTVyhYvZ3iTfu4FYpPxKONCEAd6ouglOM3ojs5m2tOU70diuOuoIkIwClUspHviB7kbblZUUmoAryQWUYK5e7OaCIDUXq5WWU1HN6VlC3H7a5J3XKciNE9AQgd0pnMWKmznbLlOA2Hd0WmUuAc4otruD+5J+KJW/gbf3Z8njVdphI78VMyY8+x/7nPSdsex5JOk/k8eiqfR0/FoNOzqP2zfHv3HL69ew6Xtxyj1UjpgTqwXSQVxWXXXVt4PdJPJuAS4Y/WYu/gEd1I33LMPs2WY4TeL+kTNKQL2ZZ1FdpQX+sGNJpgH1wbBVJ2LQe51gmFs1qymdYJv96tKb8oTdWU6msgqpAG1vpatPXmO0YCGFKzcenS0qa+tiLv161cvPsF/hg0h8RNx2gySrKHX/tI9MVllFWzR1lWAYYSHX7tpbWeTUZFk7jlGHkXUvih7SR+7jaVn7tNpTQ9j1WD56LLlupz1skEnDxdUHk4I1PKCR3eldTN9nZK23ycsPt7ARA8pDOZlocrpZuWXj++xMkFv5Bz5NIt6WpOuYLMOwDB0w/kChRtojGdt6+zttP25C06Yc6yjODIFagfmYnx+C5Mpw9gOLDJumlN/OZjNLfUGf92ko2q15nSrAL0JTr8Lethm4+MJt5SJ0oy8wnu2hyAkB4tKUiUpqu6N2xQdV9ufghyBS0D3EnOKSQ1twiD0cTmE1fo3bLmJgxXM/Mp0lXQJqxKRlFZBXqjCYD8Eh1xiRlE3GSqVH3Ejry4BFzD/XEO8bWWe0o1/0jdcpzw0VK5h9iU+38Cc3kRxoJUjAWpJG8+RqTFH3zbR6IvKkNXrax1WQXoi3X4WvwhclQ0ydXqda0IAmFDumA8J7UF5rQEZF4NENx9QCZH3qIrxksn7C9xqerYy5u0x5xrv/mWomVVZ9N4bLt1k5qkTcdoZKOHobh2PQwlVXo0GhVNkqWcgvpE0XriELaO/xBTedVaLrWXq3VDMEWwP3JvT+Q+XiiCGoBCgctdfSjdad/WqZpF4vva82RMfs2urZO5uYBSmjUh83BD3a4l+via09MN5y+gCA5CHuAPCgWaAf0oj7Uf4ZAHV23M4dS9K8ZrNx+ZLYiLxznCH42l7geO6EZGtXqaueUYwZb4FDCkCzmWOJ696xRuzUKQa1QIchne3ZpTfOn6eZoSLyLzC0Lw8Qe5AmWn3hhPHqhKoCuj5MXRlLz8CCUvP4Ip4by1Yyi4uIMgtRmCjz8yvyAqNv1m3aDm6uZjNLXEpwbtrh/D9SU6GljiU9OR0Vy16Gq7PjF8cEfyLkrPM/vfXE7xtRzWD3uDa1uPE9CjBQWXU2/oF4Zi+/p0M7+Qq1UoNE4AKKI6IJpMmFOSJJtduYgsIBiZn1Tuyh790B+1KfeyUgqfGE7RpAcpmvQgxsvnrtsxBDj+w7Y6fQ4AyItPZ+eCn/n2bqktbVytLa01dti0pY1tfM4tvCqWhw1qT4FljWbS5mP4d2pKzplEXCP88enShJKrmbfVnt6M0BHdSFp94OYJHfyr+E+PHNbGQ8DngiDMBZTAL8BJURQrBEG4BlS2DnuBMYDtnJdTSNNJfYA3RVFMEwTBbp2hLaIobhIEoS1wVBAEPbABmH29e7iluzeZSXllKZE/vi59yuLX7ZRfuob/i2MpO32Foq2H0UY1Ivyrl5G7u+A+oBP+L47hwoDnKFi/H9furWm+ZREiULzrOEXbjtSQn/HG54R885b0KYuVW9BfScZnysOUn75MyY5DNJjxBDKtmuDFLwPSbpMpz8zD7a6eaDu1Qu7pisd9AwBIm/kRFecTrquOaDJz6eVvaPvLHAS5jLQVOym9mEL4jPspPhlPzuZjuLaNpPW3L6H0cMZnYAfCp9/P4d7TbmijhNnLaLliLshlZK3Yge5iCqEzHqAkLp68LUdxaRtJs29moPBwxiumI6HTH+BE76loGgcT/vqj0rQ8QSD187Xo03Otsi7+sofCS6lETR9J7smrpG45zpUVu+m+6BmG7fuAioIS9k1cAkDhpVSS/jrEkF3vIJrMHJ39XY01hrdD/I44Ivq2YcKeDzDo9Gx4qWoaz/gN8/n27jkA9Hn5QVoM745So+LZg4s49csuYj9eZbV33Ozv6LFiFoJcRtKKXRRfTKX5jFEUxCWQvuU4iT/vouOSZxl44EP0BaUcniCtgfHu3JSmzw2TdrYzi8TN+hZ9XjHaUD+6fjsVkKbzXFu1D8Pu49aySHn1SyJ+kOpr3m/bKL9sqa+nrlC07TCaqEaEL52N3N0FtwGd8J86losxkynYsB+X7lE027IYRJGi3ccp2l5VX5N3xBHarw0Pxn6AsVzPrher7DFy83z+GCTZY+/s7+j74dPS9tu7TnJtx41dTePrzn0b3kSmUtB88jCaTRrKuUVrKbqUSqvpI8k7eZW0LcdJWLGLrosncvf+D9AXlHLgGclOjR8fiEt4A1pOvY+WU+8DYPeDb1ORW0TU3DE0vLc7Co0K+eyvMB7ehn7br2A2U7FmGZonXgWZDMOR7Zgzr6GKeRBTSjym80dQ9rgbeYtOYDIj6oop/03KTxHVHXl4CwStK4oO0tvlit8WY05P5OqOOML6tmH83g8w6vRssakzD22cz/K7JBvtmPsdAz94GoVaReLOkyRadv3bNutr+rw+DplchrHCwLZZ0hTZxnd3osXIaEwGE6pAJfpj61DIZcy6L5qJSzdgFkWGd25KI38vPtt0hBbBvvRpFQbAprh4BrdthCBUvTFNyMznrZV7kQnSIvrH+7Uj8iZrfuojdogmM0fnfEefn2ciyGUk/LKbokuptLaUe+qW48Sv2EW3RRMZsk8q930Tq9aIDT30MUoXDTKVguBBHdk55m2KLt/aNMxKpr/2NkdOnKKgoIj+Ix7m2SfGMXLooJtel7I9jqB+bbhv3weYdHpibfxh2Jb5rB0olfXB2d8R/ZHkD6k7T5Jq8YfQwR3p8tYjqL1cGfDDS+SdTWLrQ9Iyef+uzaR1WAWW0Q/RjH7zD6jHSJ/9MZ7cg5iTirLXfZjTr2K6fAJFx4EomrSTNv3SlVDxV9VnaAR3HwQ3L8xJF2rocW1HHMH92jDa4td7bfQYsXk+qy1+vX/2d/Sy+HXKrpOkWPTo/tajyFQKBq+YBUDW8Svsf/lb/Ls2o/20kWjFCjCbyZ63CMxmAr5cgCCXUfTnFgzxSXhOeoSKs5co23UQ72lPIWg1NPhQ2sGz8pMVyohQfF993tpOFHz9K4aEmp1DTGYKP1yE90fvglxG2bqNGK8m4vrkePQXLlIRux/nUffi1LEDGI2Yi4speOtt6+V+f6xA5qwFhRJ1r2hyX5iOMTEJ0WTmzOzv6LriZQS5jGsrdlFyMYWmM0ZREHeVzC3HSP55F+2WPEu/Ax+hLyjhuCWOGwpLif9yAz03zUcURbK2x5G1TerYN39lLEH3dkeuUeHy7nIMezdR8dePlP+8BO0LCxAEGfp9mzGnJeE07BFMSZcwnrz+mjl5k9Y4DX8ETCYwm6XdSsuqZqEkWWL4Q7FSfNoxraqs7980n98GS2W9Z8539PtQik/JO09adyXtNvtBfFo2lNqHlBx2z/oGgIrCMk5+tZGhG+aBKFKamkuXeeMw6ezrk61fHJj9HT1t/CLFxi+6WvwixuIXWx56F42PGwN/nomLkx5zXg5lixdUKW42Ufb1J7jMeQ9kMvQ7N2JOSUT9wHhM8RcxHP37UyDv9DnAPyqC+5a+gNpdS6MB7YieOpLV/WYR0q8ND1h8breNje7bPJ9VFp/bN/s7elvKwbYt7fzyA7hHBCCKIiUpOcS+/C0ABVfSSNl1ivs2zUcQBFTuLvRYNsUaV2+lPQUYcvhjFJa4GjS4I7vHvE2R5YVGyLCu7Hn4Xf5bucWJyP9zCOJ/4Zqz2hAE4XWgRBTF9/8T+Z8IHV6vhlQ73dkOezcjvaj+N2xwEurfzRJl6nqVf01Zr+IBaFJR/3aKcKrfaXaHTG71Kh/Aw1S/seueR3Q3T3SHfLWi7tb3XI9nPrv9XSpvhwNP3N6GDX+HTHn9O96oU2/Wq/zlbWr5REodM/rZ+p8M9Mvn9Ruf+nhk3zzRHaJxu/XdJ/8OxxLqft1WdXoPvbXp/3fCT5v8bp7oDtD8A0/eI7qn3DzRHfLl4ZqfNapLvE31Kh4At3puTwEeSF/+XzdHc2uDB+rVMDGZv/4rbfJvHDl04MCBAwcOHDhw4MCBg/8Y/1/XHP7PdA5FUXz9P30PDhw4cODAgQMHDhw4cPDfyv9M59CBAwcOHDhw4MCBAwcO6gLHmkMHd8Qa/7H/9YYskdXvepVieb2KB8DlH5ibX1HPy3qU/0BNqu+A909sgyz7B+xkqOcZJe6m/42mp0JWv4b6J8paV886ADx0cl69yt/Qam69yof6bydk/8B3st3+B/wuX17/DaruHwjkinou7kam8vrNAMilbr+1XJ3SevY5+Ge+Tv9w2k//dXM0NzV4sF5NMzjzl3+lTRwjhw6A+m/w/1eo746hg38P9d0x/F+hvjuG/yvUd8fQgYP/Rsan/lSv8vf6j6pX+Q7+t/nvf43093A86jpw4MCBAwcOHDhw4MCBA8fIoQMHDhw4cODAgQMHDhzY8v91t1LHyKEDBw4cOHDgwIEDBw4cOHCMHF4PQRAGA58AcmCZKIpv3yD54P6x74NcRvLynVxe8pfdSZlKQfvFE3GPCseQX8KRCYvQXctBE+JD/z3vUxKfBkDesSucmvkNAF1/nom6gQeCQk7uwQtkbD5G63nj6jQPAL++UXRa9gKCUs6p91dxrha53Rc9g1frcCryi4l9ZgmlKTkAtJw8lMgxfRDNZo7O/YH03aeROSmJWTUXuUqBoJCTvP4wp99fZZV337p5eLcIRTSLnP5mM4cW/FLDmD6tw+j74QQUahXJO+LY99qPduejnr6L7q88xHdRz1CeX4LKVcOoTfNx9vcEUeTMkr84/cGfNeR6tQ6j28eS3NQdcRx9RZKr8nCm5xeTcQ72pTQlm70TFqMvLAOg45vjCOrXFqOuggNTl5J+NhGAx5N/xGwwIooi2Sfi2TB6fo38vFuH0esjKb9rO+I4+KqUX6e5Ywgd0A6zwUhRUhZ7X1yKvqiMbm89QqORPZEp5ZSm5XJwxjdkHjhfQ4ceH01AbtHhyKtVOvT6fDIuIb6UXMtmzzOSDkpXDdGLJ+Ic5I1MLufsFxuI/20PXi1DGfDTDJw8XBDNZuI+XMWZT9fVqkO0Jb+UHXEctuTXcEhn2r54Hx6NA1l3z2vknroKQI8Pn6bR6J6Y9AZKU3PJ2H+OQ7O+vSMdGnRrTt9vplJyLRulixqlqxZ9YRnxK3Zx6YftdH3/STyaBYMocnDGNzQdH4O3pb7urVZfG1nq6xFLfQXo+uFTBA9oS3lOEev6vWy9z45zxxAS0w61pytytZKSlBz2Pv8FuWcSa7VTTxs7HbLoVCnDrDdSnJRFrKWsA3u2osPsB9B4OKP280CfX0L815u5VIv/dVw8EY+ocPT5JRyesIiyazl4touk3XtPSIkEgQvv/0HaxqMANHr6LsIe6osoihSdv8a1P/fT+tWxCHIZict33nIelWiCvInZ8x7n3/+Dy5+vB6D9R0/jH9OOipwiNvSbRUCfKNq/OQ5BJiN+xS7O15JH10UT8WodRkV+CfufWUxpSg4qTxeil07Bq20EV3/bw7E53wMg16jo8eXzuIY1QDSZKbxwDY+WDRHkMhJ+3sWFWuR3WTQRz6gw9Pkl7J+wmDKL/O5fSfITf93DcYt8AJlSTvsFj+HXrTmiKHLsnd9p0LUZwRZ/j526lLzrlPXt+ETEvd1pNfEeFB6WD6PLVRgLUsF0/Q+xz13wIXv2HcbL04PVP31x3XTV8esbRes3H7ntdqISTZA3/fa8x4X3/yDeUtYRT99FxFODUft5IBqMnPl0HWc/WVND7u20EwDDD32EsaQcs9mMaDSx6a5XAWg9czTNJ96DTKng8rdbOTb3+xp53U5dAuizfAZqPw9kCjlZhy6Sv+kILeY9giCXcW35TuIXr62RR5slz+Ju8YkTT39itZNri1Bav/cEChctomhm36C5mCsMdF31Ck4NPDCVS+Uav3gtTaaPqtM8BKWcntsW4hwZgGgWiXvnd85/saFGPbjdts6tUQDdPnwar9ZhNWQ+en4pciclolmkODmLlf1m1cjPp3UYvS0+cW1HHAcsPtHhpVE0HNQezCK6nCJ2v/glZZkFRN7bnTbPDkEQ/tlRGc++bYl4czyCXEbG8u2kLFltd96ta3Mi543HuUVDLjzzETnrDgLg3DKMRu88hdxVCyYzyZ/8Qc6a/dbrKv1OkMtIuoHfVcbYo7XE2P4Wv7ti8Tu/vlG0fusRtMG+lCRns673jBoyb8fnXCMDiP5iMgBaf0+cPF3QZRWy69EPwGym09uPI1crEY0mDr/8HaLJfMfPS3mnE3EO8qb3N1NBWpt+FlgMVAa1+cAjgCfg8nfKtL4x//8cOHSMHNaGIAhy4FPgLqAFMEYQhBbXSS4HPj0w9l129JpO0L3dcW0SZJcgdGwf9AWlbO/2IvFfbqTl3DHWc6VJmewaMJtdA2bbddqOPr2IXf1fZmfvGTh5u9Huk2eo6zyQCbT75Bmy956hOCGDsOFdcWscaCc3cowkd22PaVz4ahPt5j4IgFvjQBoO78q6vjPZMfZdOi18DEEmYK4wsH30AjbEzGFDzBwC+0Th3T4SgG6vPoS2gQdfRY5n7ei3CI5uWatBey0Yz+4Zy1jRcxru4f6E9ImynnMO8CKkV2uKU6oCa/c3xoEIX0WOZ9f4j2k9ZQQyZc2d3Dq/PZ5D05expsc0XMP9CewryW05eSgZsedYG/0SGbHnaDl5KACB/drgGu7Pmh7TODTjazovfAyA4H5tEM1mvoscz4b75yNXK2vVo8fC8cTOWMbv0dNwC/cn2JJf2p7TrOo/iz9jZlOUkE6byUMJ7teGgO4tSNxwhC2j52MsLafjq2OhWuPZdeF4DsxYxmqLzEodWk2SdFht0aHVJEmHpo/FUHgplXUxc9g8aj4dXx2LTCnHu00ERQnp/Bj+GLsmLKLd9FGo3LQ1dOi6cDz7ZyxjlSW/IEt+BRdS2PnUJ2QevGhNG9SvDa4hvhRcSmHL6PnoC0trdAz/jg4AWYcvsn7wXBBhwz2vsrbvDMKGd6XbxxNI33WKv3rNYP2A2fi0jUBfUMqaHtM4b1Nf3RsHEja8K3/1ncn2se/S2VJfARJ+3cOOh96rcZ9pe05z5M2fyTmZwIXvtpJ7+irdLHWgOt0WjmffjGX8Uc1OaXtOs7rfLNZYyjrKUrfK84rZ/viHiGaRg+M/BCC4Fr8Os/j1lm4vcuXLjbSy+HXRhWvsHDSXHQNms3/MO7R97wkEuQy1vyeRTw5ix6A5bO8zE0Euo/2HT7Fv7Lts7TX9tvKoJOqNh8nYcdLuWNKve9g/5h0ABJlAhwWPseuhd9nQZwYNh3fDrbF9HhGWOLKuxzQufrWRNpY8TOUGTr33O3Hzfq5h0wtfbGB9r+lsHjyHoEEdOL/kLzb1nkHDEd1wa1KL/MJSNnSfxsWl9vLPvPs7J2uR33zKCMpzitgQ/RIbe81AUMhxC/dnVfQ0Dsz8+rplfTs+AZDw537WDpyDsSAVY3EWmI037BgCjLg7hi8+fOuGaWojauH4v91OALR642Eybcpa7e9JxJODwCyyo+d0MneeovHD/e64nahk2+j5bIyZY+0YCjKB8FE92f3we2QdPE9An9Z1UpdiJyxmU8xsNvSdidrblTafTOTw2HfY3fMlAu/tjks1O4WM7YuhoJRdXady9csNNHtlrHR/chltP53E6elfs6f3dA7e+yZmg9F6XdyznxLb/2ViY2bT9OUH6jyPNp9MROakZGPwOLaOmk/YiG41dIXbb+sq8ks5+sqPnKvW0Qzp1waZQsHyDs+x/v75GEpr3/mzx8Lx7J2xjN+ipTa7sq079cV6VsXMZtWgOSRvP0H7F+4FoDg5m3Wj3uKPAS/XKq9ekMmIXPgkZ8fO51ivqfjeG422SbBdkorUHC5O+ZSsP2Ptjpt1FVx8bjHHe0/lzJi3iJw3HnlleymT0cbid9uvE2Mbju2DoaCUbRa/a3ETv0Mm0GbheFL/OkzahiNo/T3v2OeK49PZGDOHkwt/I+/UVcpzijjy8rd0XvgY7eaO4fSHq9gQM4eT7/1B+7lj6ux5SZdVwKahr7MhZg5AF2AWUKnMX0DnWy1CB/8cjs5h7XQGroiimCCKoh74BRh+o7RlyVmIBhOpqw/gP6iDXYKAQR259tteANLWHcInutVNb8BYogNAUMhx8nWnIquAus7Du1tzZCol5xf8CkDSmoOEVJMbPKg9Cb9LcpPXHaaBpUMXMqgDSWsOYtYbKb2WTXFiJt7tpE6gsawCkN7My5QK6x7JTe7tzskvNoAoknUiHqVWjdbPwy4/rZ8HShcNWSfiAbj0Ryzhgzpaz3d/7WEOzv8FbD7B4tkoiMKkTACK4tPBLOLk5WonV+PngdJVQ85xSe7VlbGEDO5o1SXBYruE3/baHb+6Umokco7Ho3J3RuPnQcOBHTAbpW9mZB+PR+UmHa+Rn4uGbEt+V1bG0tCiR+qeM4iWrdSzjsejDfCi4cAOlKbnk77/LDnH41Fo1Rh1erzbhF9Xh/iVsYTa3Gu8pZzif6/SAVFE6aIBQOmspqKgFLPRjE+bCC7+sAOAlG1xYBZxb2Lf+Gj8PFC5Vulgm1/hlTTJ1jaEDupA0sYjNex1o3K4JR0seLeLpDgxk5LkbMwGE9c2HaNB16Zc+XkXAGaDiYDere3qq7+lvgYP6kDidepr1qGLVOSXUJ20PWcIjWnPlZWxZB2PR5DJbqiTXVlb7j2tlrIGyDubhHOgN6VXM8nceUoaRV13iIBa/DrZUjdT1x3C1+LXJp3eKlemVtrtQy7I5cjVKmtnUZeaa40dKasP3HIeAAGDO1KanE3xxRS7a3IPXkBfINnMq10kJYmZlFrKJXnNQYJrxJEOXP19DwDXbMrFpKsg5/AlTBUGu/QmnZ6s/ecA8GgVRnlOETKF3Co/qJr8wMEdSPxNkp+y7jANelaTX24vHyDiwd6cX2QZzRFFAnq0IN7i79k3qL+34xPVkTm5YK6oWdeq07Fta9zdXG+azhZB4UTp1cy/3U74X6esFRonyq5lo0vNQa5Wkr73dJ20E7Xh3S6SosupZMaeBRHSd5++47oE9u2p2tKe6pIkO6WtPkCDarGmweAOpFjqU8ZfVXby6RNF8blkis8lA2DILwFzzZ3uPdo3ouxqRp3n0WBwB658JM2KyTl2BaWz+qYx9lbauorcInJPJiAa7b8F1XBgBwxlUocw6wZtncpFQ5Ylv8srYwmztHUGi91BqkeVn07LOnbZOtr0T+HarhHlVzMoT85CNBjJXr0Pr0Gd7NJUXMum7HwSmO33qNQlpFN+NQMAfWY++pxClN5uVrklNn6XUovf+dvE2LRaYmxZNb/zbNcIXVoe3h0akfTTDsoy8uvM54IHdSDvTCIlSVmkbD6Oyt0ZQSlH6So9J6jctFQUlNTZ85LZYMKst75AccK+33EQuHHQ/A9jRqjX378Vx7TS2gkCrtn8nYL0xuOmaXXpeXi2b2SXQB3giS4tFwDRZMZYXIbK0nnRhvrSe+sCjCU6zr/9G3mHqt46d1sxC492kRRfuEbByQTqOo9GE+6m4FQCRp3UmStLz7OO8lWi9fekNC3PKtdQVIaTlwuaAE9yjsVb05Wl56Hx9wSkt7+DN7+Fa1gDLn23lVxLR0/l5oxn40DuWz+P8txiygtKcPb3pCyrwCrH2d+T0vQ8698l6XnSdFEgbGB7yjLyyT2fbHePFYUlaLzdGHd0CSoXNYWXU9E08ESXWSVX4+9JmY3c0rSq+1X7uKGz3IMuqwC1j5v1mlKLTSuvcfb3ROvviUwhZ9j6eYgmM2a9AWd/T6uM2vQoTc9Da8nPliYP9CLhr0NEDOtK3rkkQmPak/znASryivFqGYpzoDe5cQnWsrDVocxGpqaaDhqLDhe+3Uq/715k1PElKF3U7Jm4BETRUq6Sbj5tIzCbTJgN9g2i9hZ1sE2ftuc0LqG+DNn8FmofN4L6t+XKil12aW5XBwDfDo3o+ekkZHIZ7k2CKLyUitloxGww0e2jp/FsGUreqUS0gd6U1VJftbXU1xvpYmeDtFxaTxrC1bWH0Ph5oK1W1jfSyZbGD/bi6tpDdtfp0nIJHNKZgtOJlF3Lwesmfm2w+LU+rxjPdpF0+HgC2mAfjk7+DNFkpjwjn8ufr+euY4sxlespupxG4Zkkqzxdet4t52Eq19Nk8lBi719Ak2eH3MBGXpTZ+EltcUTj72lXLvqiMlReLujzbt5Rco3wR+XuTObeM1Xy29WMU9XL/UbylZa3/q1njsKve3NKErOQuWspXVk1YlBZ36uX9e34RHVkTi4YizJuOf1tIVNYyxFur50wletpPHko++9fQCObsi7PyCdj2wlCRkUz6NRnZO06Tda+83XSTiCK9FsxC1EUufLjDq4s32mpJ1U6lOcUoQmwt+/frUt9fp6Jd9tICi6mUBBX1Z6Wp+XiUcNOXpSn2vuE0stVms4pinT+ZRYqbzfSVh8g4dOqKYRRn0xANJkpuZxmVxZ1kYfCTYsgl+HTrw1hTw6mICmL8pxCNNXq6N9p666Hs78notHE3T9L5YQo3lJb52zjEx1njKbxqGj0RWWsv3/BDfOrT5wCvKhIq5pxpE/PxbV949uW49KuETKlgvLETKtcu7Kuxe80N/G7ffcvoLGN32kCPNEEe3P4yU9QuqgxVehr+MHf8jnLddoATxJXH5DOp+Vx6YftdHh9LO1fHYsgCBya+Q3NnhpsvebvPi9V1k1toBd9f3gJpGfl6UDardrbwX8Gx8jhHSAIwtPjx49/59dffx2+uezKbV9fkVnAlg7PsztmNmde+4mOn01GYRnlATgw5m02t3kWQSlH3eDWH0BuJQ+3lg1x8nO3W29SV4hmkY0xc/izw/N4t43Evak0dUOQCZgMRlbd8yrnf96JZ6PAm0iqQqFW0W7yMI58sLLGOY2XG4WJmfzYcTLrY+bgGhmAQuv09+//Fj55un3CItbe8yq7Jn+KW7g/2oDbL582zw3DbDITv2ofANe2xVGansc9G9/ELcKfvHPJ1tGh26VSh8A+rck7m8TK9pNZN3AOnd96xDqSCNJb356LJlJ4Oe3WFL8JFfklrOz8AusGzaU4IYN2M0fZ5fd3dMg7ncgfnV/g2Js/U3Aplb7fTJVOyGSovV259MN2Ngyci7GsArXX7Y223AqRo6IRjWYSLOX0d4h6flitMpTuWlrNHcOJ6ctuW2b+iXi29Z7BzsFzafL8cGROSpTuzgQM7sCmzlPY0GYSciclzmEN/tY9N58+kitLN2CyzAT4TyDIZTR98i4KL6VQmpxdd3IVMrRB3uQcucyWgXPJOXYZj2rTF+saQeEkVWpTzZGt/zTNpo8kvpayVro749E2ktQ1B9ncZhIKrRM+HZvUSZ5bRrzJxkFz2fnQezR5bAB+XZrWidzrsWvsO/zZbhIyhTSi/neQyWV4dWnKiWc/Zf+w1/G/uyPellHqE88uYW+fmRwY9gYuTYJwDvev0zwEhTQjoPj8NWJjZpNz7AqufzOPSm4l5MfO/o4/75rLpnHv4RzgiXerhreVx9F3f2dF5ylc+XM/LcbH2J0L6N78tmT9p1H6edB08XNceuHTOmkvm10nxrpHhWMqN1BoWbdcp8gEfDo3JfmvqheVoUM6cfS15fzZcQpHX19O66kjblncrZihLC2P9QNmAzQCHgX+XqP0H0Cs59+/FcfIYe2kAiE2fwdbjtkhiuJS4DTwunrKmoEAmgAvym3eogGUp+ejCfSmPD0PQS5D4apFn1cMgFkvve0sPHWV0qRMXCL9KThZFRDMFQayd50m5IFe1mN1kYdH20i0Ib64NQ3Br28UKh93Wr80kvjlO+3klmXk4xzohc4iV+mmpSKvBF26dLwSbYAXuox8u2sNRWUYdRX0WzGT8twiDKXlFFqmZlzddJSYL56ntNo1pRn5OAdUyXUJ8KI0Ix+3MD/cQnwZvVl68+gc6M24o0sovJqB0kVD4vYTAJQkZoJZRKFR2cnVZeRbp/RJ11fdb3lOERo/D2m0ys+Ditwi6zXOgd5kg/Tw0rkJvT6aQNaxyyjUkvzi5GzMemONTkl1PZwDvCiz0bXx6J40HdMHQ0k5IzbPJ+dkAlp/Tw69sRylCMP3vIfcSUFRQtWMi7JqOmhtZOqq6VBu0aHRA705Y1kcH9i7NWovV+7eOI/MAxdwiwigy5uPcPyd32g/8367+6vM70Y6gPQWsteSZzGV68mJS0Dj60HG/vPIkEZnihOzcYvwt27O8Xd0qJyaVJaRjwDIFHKcPF2Qq5Toi8qsI9NJ6w4Tdm83tIFelFWrr2Xp+WgDa8+3Ok0eG0Cjh/oiAvqiMgK6N2eNtF6iVhvcSCeARvf3JGRAOzbdv9DuOrPBRIN+bYl9YCGlSVkEDeuK7jp+bfU/G7+upPhyGsbSctyaBeMc6kdZchb6XClN5o6TNHzQPnbcah5e7RoRNKQLrV4ZK420mUVMFQYSvtlSTf88tIHedvrr0u1tpMuQ7F+Zh8pNe0ujhp3fe4LixAxUrlXrYWuLNWXV5CtvIl+fV4KxrBy1nzsDty5AppSj0KhwttHjemV9M5+4HsItTin925iNaGzu/3baCc92jQgc0oWWlrIWzSLmCgMV2YWUXcvCydsN0WgifcMRQh6LIXXzMTu5f6edqPy3IreIa5uO4d0ukuwjl+zqktrHrc7qEkjtafru0zS6v8on1IHelFcrw/L0PNRBVXZSumox5BWjS88j78AFDBYfzNoWh3vrcHL3nqXCIsNUWk7W5mME11Ee+rwS2i55loqcIsxGI7qkLACS1h2i7ez7a/jC32nrbPHt2JjwrdIGa1knE6xtXXluEaYKo139h9rbuurtOsCVP/cz+IeXOP6BtEGdV/MQer37ZI109UVFeh5OgT7Wv1UB3lRU848bIXfR0Oqn2SS9vYLi45ft5HrZ1tlaYqzuBn5nG2NFS4zV+HviHOrLwCOfSC/9PGvu1XI7PufTvhGtXhgh3W9OEWUpOZTnSGWvDfTCq204sRM/BSD5r0N0/eBJu3p1u89L1a+xIQ04A/QEar7pd/CvwTFyWDtHgMaCIIQLgqACHgTW3iitNtQXQSknaEQ3MrbYN5wZW44Rcn9PAAKHdCFn31kAVN6ulTs4oQ31wzncn9KkLORaJ5ws8/oFuQyXxgHItU7UZR6J329jc9SzlGcVcHTiYooT0jGW6EjZctxObuqW40SMluSGDulMZqy0Dihly3EaDu+KTKXAOcQX13B/ck/E4+Tlap2yJVcrUblqOTzjazbGzCFl7xmaj+kDQMtx/TFV6O2mlAKUZRVgKNHhZ5k21mRkNIlbjpF3IYXv201iefepLO8+ldK0XH7sOJnfBswi72IyTUZ0l3TvFyXt8GozDRek6Q+GYh0+lulQ4aOiuWZ5wEnZcpwIi+0i7u9pdzx8VDQAeaeukn8umVX9Z5G69wyNLTYJ6t0amZOCrKOXa+ZXosPXkl+jUdEkWcosqE8UrScOYe2Q1/hz4GxWD5pD0qZjNL6/FwqNk3SPoohJZ5BG9K6jQ2Q1HSIt9xQ5ukqH0tQcAixrEZLWH8ZQrGPTsDe4tu0EHec+SPzKvZSl56EvKrObKlSZn764SofIUdEk1/JQuGfyZ6wdOIfkzcdoPLYPgkzAp30kpgo9LsHeFCdn3ZEOal93AHLjEvBoFoxMKcdQoiN4QFtKkrNxiwwAIKBnS/LPJl+3vobVUl9r49J329gQM4djC37FNdSX0rQ8TOV6fNtHXtdOhmL7sq60U2VZb3vsQ+suhiCt62g/fSTG0nLKM/MRlHKCR3QjvZpfp285RqilbgYN6UK2xa+1ob4Icil8a4J9cG0USNm1HMpScvDq0Bi55eWINtQHuaYqdtxOHntGzGNzpyls7jSF+K82cXHRmhodQ4C8uARcw/1xDvFFppQTOrwrKdXySN1ynPDR0sNyyJDO0pqym9B6xmiUrloOTPqshvzqnZO0zccJszyMB9+i/LQtJyi6lMqWmNlc+Gw9BZdSibT4+43K+mY+USuCgEzlXK+dQ9FYgXOE/99qJ2JHzGNrpylstZT1pUVruPrNFnQpOTg3bIBzpCTXp3crnAO97ridkGucUDirAZBrnAjo3YqCCynk2tQlBAjo3fqO65JC64Tapj11axyIXOuExmKnwBHdyKxWhpk2nTv/oV3IseSRvfMUrs1DkGmkNb3e3ZtTcilVeji3vCAUFHJcmgQh16jqJA+5WsnpacuI7f8y+UcuE/70XQA0eqgvxtKK68aj22nrbMk+etm6ody1nadoYnkxHdCtOXInJVnH7GdJ6bIK0Jfo8LPk19imrXMLrxogChvUngLLmlznQG8GfPUCO6fc+k68d0px3BXUEQE4hfohKBX4juhB3pYjt3StoFTQ4tsZZP6+27qDqa1cFxu/C76O34Vex++2dJrClmp+d2LqUsozC4gd+RbHJn+KudzA/smf28m8HZ+Lm/8LG2PmsDFmDjInBZVL3bwr41xGPg26SaO4/tEtKU7IuKPnJR+b+KkN8LLdtM8TiAbsd+36F2Ou59+/FUGsg6Hx/0UEQbgb+BhpN9JvRFGs+a2CKu4uiU9fL8hlJK/YxaVP1tBsxigK4hLI2HIcmZOS9kuexb1VQwwFpRydsJiy5CwC7ulEsxmjEQ1GRLPIhff+IHPrcZx83Ojy03RkKiWCTCBn3zmydp2i1esPU1d5VOLXvy1RCx5DHeDF6Q9XcXbRWqKmjyT35FVSLXK7L3oGr1ZhVBSUsG/iEkos07taPj+MyAd7I5rMHHv1R9J2nsKjeQjdPpmAIJMhyASS/jrEmY9WA1DhqWX05vlo/Twxm0zsfmkZV9ZK895HbZrPysHS6IxvVDh9P3xa2hZ750liX/mhhsEf2v8Rf9zzCuX5JWgbeHDv2jfQ+riD2cyZRWs5/bGU591b51fukoVXVDjdP5bkpu08yZE5klyVpws9v3gO5yBvSlNzpK2ZC0oB6LTgUQL7RGHU6aVPWZy5il+HxsR89yJKZ7X0SY4v1nP8/T8AGLF5PqsHSfn5RIXTy6JHyq6THJgr5Tc69gNkKoV1E5Ss41fY//K39Pp4AhHDu4FZJP9cErsnLKY0NZchW+azbqAk0zsqnO4fPS1tL73zJIctMp08XehVqUNKDrufkXTQNPCgx0cTpE0EBDjz6TqurtpH2H096PnxBMwmE6JZpDQ1l90TF5N3NplhW+az1ia/6I8kHVJ3nuSQJb/QwR3p8tYjqL1c0ReVkXc2ia0PvcuAn6YT0KMlotlMSUoOx99aQcrWE3ekQ9PHYmj6SH/MJhNylRKFxgmzwUj8L7tJ3R5H3x+nY9YbyT+XxKGZ39DprUet9TXWpr62sqmvRy31FSD6s0k06NYcJy8XdNlFnPrgD+JX7GbYvg+QOymQq1UoXdQYSivYMvYd6yhodTv1tLHTQYtOI2MlGeWWss4+foUDs76lzZThtJ48lIqsQjQBXiDAlS82cHbBrzS3+HW6xf86LnkWj1YN0ReUctji1yGjomn63DBpF0OzyPkP/yR9k/Qpi+bTRxI8rBtmk4nC04mkrjtEq1cfkrZZX7GLi5+suaU8bGn+ktSRrfyURafPJ+PbvTkqL1fKs4tIXn+IwH5tpU9N/LKbc4vW0Hr6SPJs4ki3RRPxtOSxb+Ji6zTRoYc+RumiQaZSYCgsY+eYtzGU6BhxbDGFl1Mx640onNUondUYS8tJ+GU35z9ZQyuL/DSL/K6LJ1p1OPBMlfwhhz9GYSN/95i3KbqUijbYhy6LJ0obMOQWsefFr2g1aQhBfaIw6fTEvrj0umV9Oz4B4N+tOQNXTMNUeGtLbaa/9jZHTpyioKAIby8Pnn1iHCOHDrrpdUenrKT1vHG33U7Y0tRS1pWfsmg6fSShD/bBydcNUW/k7OcbOPPRn3fUTriE+tLr6xcAqTOV+Od+zlo2B2ozfSQtnhuGIJdhLKsg58glck9c+dt1SZ9fTK8fXkKuUoJMIGv/OQp3nKT5G5KdUlbs4srHq2kyYxQFJ6+StfkYMiclbZc8i1vrMAwFJRyfsNg6Yhc0MprI54cDIlnb4rjw5s/ItU50W/0qglKBIJORs/c02btO02Je3eUB0oug7uvfkNarGUzsnbiEtG1xwJ21dWpfd+7a+Ka0KYnZjKG0gnV9ZiL6uDBi3TyULmoQ4cIvu9hv+UTIfZvns8qmrev9oRTTr+06yX6LTwxY+jzuEdIaypKUHGJf/payjHx6vvck4Xd1oiQ1B++WtzdN9XbZ6z/K+n/P/u2ImCd9yiJzxQ6ufbKKhjMeoDgunrwtR3FpG0mLb2ag8HDGXG5An13A8d5T8R3ZkyYfT6LsYtVWFJemfEqp5dNWiv6drX6XdB2/62Djd0dq8btmFr+r/JRFg/5taT1vHHJnJ/Ql5azrNeOOfA6kFzH3HvmYaxuP0qBHC0yW5xq5WkmHeeNwbxxEwflkDr/8HQjCHT8v5Z26in+vVnR4dSyIIp4tG54GlgBLLWq/C4xF2r00DVgGvF5XZV8XrAx4qF47SaPSl/8rd6VxdA7riDX+Y/+rDVkiq/9B5OKaX5eoc1xMN09zJ1T8A2Ptyn+gJtX3G6t/YkqCrJ7tZPgHQrb731xT+m+iQlb/hqrvsgbQ1bMeD52cV6/yATa0mlvvedR3WyH7B1biuP0P+F2+vP4bVN0/EMifSvmpXuXbdg7ri1xUN090B5T+A89n/8QD7MNpP/0rO0I34v9r59Cx5tCBAwcOHDhw4MCBAwcObPivHvW5AxxrDh04cODAgQMHDhw4cODAgWPk0IEDBw4cOHDgwIEDBw5s+e+fgP73cHQO6wgXsX4XuznL6/fbWBpT/c6ZBwgzG+s9j3Th73/f8FbI/gfWVwUb6n8iQ4igq1f5nm71Kx/gSJH3zRPdAUoRegel3zzhHbAmI6Be5QOMn1C/8jd+Wv/1NV9e/343dmL9TqT5J9YD3n3mrXrP46c2r9ar/E5OhfUqH0Aur99HPs+AsnqVD1CaV79tHcCfRb71Kt/PBD8EPVyvedw7qv7L4vs16nqV7/IP9FCcHPuPOLDBMa3UgQMHDmqhvjuGDhw4cODAgYN/L2ahfn+3giAIgwVBuCgIwhVBEGbVct5JEIRfLecPCYIQdqd6OzqHDhw4cODAgQMHDhw4cPAvQhAEOfApcBfQAhgjCEKLasmeAPJFUWwEfAS8c6f5OjqHDhw4cODAgQMHDhw4cGCDGaFef7dAZ+CKKIoJoijqgV+A4dXSDAe+t/x/JdBfEIQ7WovhWHNYC4IgfAMMAbJEUWx1C5cM7rrvIwS5jLTlO0havMZenkpByyWTcI2KwJBfzJmnP6H8WjaCUk6z957GrW0Eolnk0tzvKNh/DoAG93YnbMq9iKKIPiOfq89/hDGvGAD3Pu0Ie/NxBJmMrBXbSFvyp11+rl1aEDbvcbTNG3J54ofkrT9gd17uoiFq1yLyNx8icc4y63Hvvm1o9taj0kd7l+8gcfHaGnq0XjIJt6hwDPklnKzUQyGn5YdP4xoVjiCXk/77Hq4ukmzQ88hijKU6RJMZmcnEyUEzAfDo25aIN8eDXEbm8u2kLlltl5db1+aEzxuPc4uGXHzmI3LXHQTAKdiHZt/MAJmATKkg/euNZPywpdZCadA3iraWD9Ne/XkXF5f8ZXdeplLQadFEPKPC0OeXcHDCYspScvBsG0GH9560KA3nPlhF2sajdtf2eWMc4X3bYtBVsGXaUrLOJNbI3691GIM+mIBCreLqzjh2vfYjAL4tQum/4HHkTkpEk4ntc74j82QCnpEBDHz/aRq0DsdQVIaxuIyE69x3Z8t9V9jct1+vVkTNeRCZUoHZYOTkvJ/J3ncOhbOavqur1glpAr3I+2M3Sa99A9RffbJFG92BBnOeAZmMwpWbyPvqd7vzno/di/uowWAyYcwrJGPORxjTslAE+hG0+BWQCQgKBfk/rcWpUSjOvTrhV2qUPrR7uqbtvVqH0e1jyfapO+I4+opke5WHMz2/mIxzsC+lKdnSB3wLq9akeLeJYNBfrxE7cQnEVdV/wVlLwJ8/IsjlmAqLKF2zgeLvf7HL02XsKFyG341oMmEuKCBv3nuYMqQPHbtPfgpNdBcACr/+Cd3WXdbrer4xjob92mLUVbD9xaVk11KXfFuHMeDDCcjVKpJ2xLHXUpc6T72PFmP7oMuVYsPBd34jaedJZAo5/d59Et/WYWh8ZBhPxWLY/xfyiChUg8aBIMMYtwvDfvu6pYjqiar/GMzF+QAYj27FGCfdq+DmjdOQJxHcvECE8l/eQyzMqXGv9eV33eaNI8Rip91Tl5Jbi518WofR+yPJTtd2xHHgVclOHV4aRcNB7cEsosspYveLX1KWWYB7ZAC9P3wan1ZhGPeuxHhoIwDyiNaoBj5ssdNuDAfWVbNTNKp+D2IuqbTTNoxxu5E1bI4qZmyVrt4BVPz5GaZLxwHw6xtF6zcfAbmM5OU7uVyLbdovnoi7JcYembAI3bUqG2uCvOm35z0uvP+H9SP1EU/fRcOH+oIoInf1xFScza1swD53wYfs2XcYL08PVv/0xU3T29Jl3jiCLWURe52y8G4dRk9LWaTsiOOQpSw6zh1DSEw7zHojxUlZxL64FH1RGT5tI+j+7hNoBRMIAlmf/EzxFvtY49KrPQGvPg0yGfm/bSHni5X2eT4xAs/7B1riSBGpMz7GkJZ9Q12ce3agwdwJCHIZBb9tJnepfWzyGn8vHvcPQjSaMOUVkvbyxxjTsnBqHoH/G5OQu2gRTWZyPv+V4g17as1D1bkzbs9PBpkc3fr1lC7/2e68ZtgwtPeNAJMZUaej8L33MSUloerYAdcJT4NSCQYDxZ9/gf74iRryNT064jPrGQS5nKI/NlLw9W92590fuQ+3kYMRTZIO2a98iDFdik0RJzegv5wIgDE9i4znXre7tp+lrTPqKth4nbauQeswBtu0dTsq27rmocQsGI/SWU1RSjbrn/8cfYmOmIWP0+K+aBROChLXHWLvxE9ryPRqHUYPS/1J3RHHkVerYnivzyfjEuJLybVs9jwjxfCWz9xD+H3dARDkMtwbB/Fb1EQEPw2axy0z8Zw0yLz9EcuKMWxfhX7r7zXyBVC07YHmyTmUvjsFc/JlkMlRPzQFWUgjkMkwHt6BfstvtV4LdxbTAaIei6H1ozGYTWaSdsRx6q1f6FzN5/Ku43PRNj532GKzhkM60/bF+/BoHMi6e14j99RV6zWezUPo9s7jOPt5oPbzoCw9j/ifd3K+ltjUddFEvFpLzx37n1lMaUoOKk8XopdOwattBFd/28OxOd9br4maOZqw0T1RuTuzsvET17WXgxsSBFyz+TsF6HK9NKIoGgVBKAS8gZoN9C3iGDmsne+AwbeYVg58Gjd2IQd7vkiDe3vg3CTILkHg2H4YCko50HUK177cQKNXpIeHoIf7A3Coz3RO3P8WjV8fB4KAIJfR5K3HOH7fPA73nUHJuWT8x98tCZPJCF/wFBceeouTfabgPbwnmsbBdvnpU7OJf2ExOX/urfWGg2eMofjQWfuDMoHmbz/O8bFvs6/nNAJq0SN4bF8MBSXEdn2BpC/X08SiR4NhXRGclBzoM4ODA18meNwA1CFVC9mP3vcmB/vPsnYMkcmIWPgkZ8fO50SvqfjeG42mib0OFak5XJ7yKdl/xtrrllnAqSGzOTlgOifvepmg50agauBZU0mZQLsFjxH70Lts7j2DkBHdcK2mT9iYPugLS9nUfRqXlm6k9dwxABRdTGH74Llsi5lN7Nh3af/u4wjyKlcJ69sGjzB/vu01jW2zvqbf/MdqtXP/+ePZOnMZ3/aahkeYP2F9ogDoOXsMBz9exfK75rD/gz/oOVvKt7yglN1v/ISprIKry3eyqfcMQmu573DLfW/sPo3LSzcSZblvfV4xsY+8z5Z+szj8/Bd0WTwRAGNpOVtjZlt/ZSk55G04aC2LeqlPdmUho8Grk0h56hWuDpmA6z19UEWG2iUpPx9P0qjnSRz+LCWbY/F96XHp3rPzSH7wRZLunUzSAy/g89zDqBqHcXXQExya8TWdF9Zu+85vj+fQ9GWs6TEN13B/AvtKtm85eSgZsedYG/0SGbHnaDl5qPUaQSbQbs4DpO8+XUOe+8TxCE4qyvYeIOP+x9EO7IcivKFdGsPFK2Q+MpHMsU9Rtn0PHs8/DYC6RxdUzRqT8dDTZD42GbeHRyM4awFo2LcNHuH+/NRzGjtnfk3vBbXr02fBeHbMWMZPPafhEe5PqKUuAZxctolfB8/h18FzSNp5EoBGQzojc1KwIuZldMteQdG+H4KHL6q7HqV8xbvovpiBvGVXBJ/AGnkZzx2kfNkcypfNsXYMAZyGP4P+wHp0X8xE982riKVFNW+0nvwupF8b3MP9+S16GrEzvyb6OuXeY+F49s5Yxm/R03AP9yfYUu6nvljPqpjZrBo0h+TtJ2j/wr0AVBSUsv/VHzn15YYqIYKAavAjlP/yProvZ13fTucPUb7sFcqXvYIxbjcA5qTz1mPlP70NBj2mhDNW20QtHM+Bse+yo9d0gu7tXsM2oWP7oC8oZXu3F4n/ciMtLbappNUbD5O546T1b7W/JxFPDmL3oDns7CPFV8HJuVbbVGfE3TF88eHtb2AT3K8NbuH+/BE9jf0zv6bbdcqi28Lx7JuxjD+ip+EW7k+QpSzS9pxmdb9ZrImZTVFCOlEWH8y/kMJfd71C/JDnSXrsVYLemgQ2cReZjMA3JpI4/jWuDHoW96G9cWoUYpdn+dl44odP5crdz1G0MRb/WeNvrIxMhv/rz3LtyVeJv+sZ3Ib0RlVd5rl4rt47hatDJ1G0OZYGM6TYJOoqSJv+AQl3T+TaE6/gP+dpZK612F4mw23qFPKnzyTnkUdR9++HvKF97Cjfto3cxx4n94knKV2xArfJkwAwFxaSP2s2uY89TuGCt3GfM7tW+b5zJ5E+cS7Jw57C5e6+KCPs42vF+XhSHniOlPsmUro1Fu9pT1rPiRV6UkY9S8qoZ2t0DMP7tsEzzJ+ve01jy6yviblOWzdg/ni2zFzG172m4RnmT7glPg1690n2vP0r3w98mcubjtJpwj2E922De4gvKx9+m7Ofr8e/W/UZchJdF47nwIxlrLbUn8oY3mqSFMNXW2J4q0lS/Tn7xXrWDZzDuoFzOPH2b2QePI++oBQxK5Wyt5+j7J0pCAiIpUWUvf8iig69kfmH1MzYSYOyz3BMVy9YDyna9wSFkrIFz1L2zhSUPe5C8PKr9b7vNKYHdWtO+MAOrBg0mxUDZnHiyw0EWXxuVfQ0DtzA57ouHM/+GctYVc3nCi6ksPOpT8g8eNEuvSCX0XPRRA7M/g6zyczWYa+zse8MGg7vhltj+9gUMUaKTet6TOPiVxtpY4lNpnIDp977nbh59i88AFK3nmDL3fW7gVV9I9bzTxCEpwVBOGrze/qf0+76ODqHtSCK4h4g7xaTdwaulCdlIRpMZK7ej8/gTnYJfAd3JP036eEh66+DeEZLg5HOTYLJj5UeHAw5RRiLSnFrGwGCAAjItdJuZHJXDfoM6XZc2jWiPDGdiuRMRIOR3DWxeA7qbJdfRUo2ZeeTwFxziyvn1hEofT0o3H3S7rh7+0aUXc1AZ9EjY/V+/AZ3rKFH2m/Sm9HMvw7hFd2y0mAotE4IchlytQqzwYix+Po7hLm2a0T51QwqkrMQDUayV+/Da5C9zSquSTqI1XQQDUZEvbTrqcxJwfVGzr3aRVKSmElpcjaiwcS1NQcJHNTBLk3g4A4kWfRJXXcYv56SPiadHtFktuShrPESPnJgB87/IXVaM07E4+TmjLOfh10aZz8PVC4aMk7EA3D+j1giB3W0mEtE5aoBwMlVS2mmNPqgyy1CkAno80vQF5RY7zuolvtOtNx3is19F5xJojyzAJAetOVqFTKV/eQAlwh/nLzdKD4kjVDXV32yRR3VBENyGoaUDDAYKd6wG5f+Xe3S6A6dQiyvkP5/8gJKfx/phMGIaJB26hVUSgSNmuLNUic153g8KndnNNVsr/HzQOmqIee4ZPurK2MJsdTlkEEdSPhNuj7ht73W4wBNHx9I8oYjlOfYd3qUzRqjDGuIMS0TsbQMjEbKtu5E07u7vZ2OxSFWSDroT59H7ie9IFGGN6TixClpVKC8HP3lq6i7SfU9fGAHLljqUqalLmmr6aO11KVMS1268EcsEYPsfbM6oghKjeSTKFVgMiJ4+mPOy0QsyAazCdPZgyiadLihnEoEn0CQyTBftXR0DBVg1NdIV19+13BgBy6vlOyUdTwelVvt5a5y0ZBlKffLK2MJs9jJUFK1e65C44Ro2ZmvPLeInJMJmI1Vu03LAiMx52VV2encQRRN2t+SnWxRNO+EKf6U1U6e7RpRejWTsmQpxqauPoB/NdsEDOrINUv9TFt3CJ/oqokr/oM7UpqcTfHFFLtrZHI5crVKKmtBAPOt7ZzdsW1r3N1cb1uv0EEduGIpi+yb+GC2pSyurIylocXX0vacsZZz1vF4tAFeAJjKq8pfcFJRPfBq2jShIikdwzUpVhWu24NrjH0cKT142hpHyk5cRFEZR66DJqoJ+qQ0DNek2FS0fg+u/bvZpSmzjU1xF6wy9YmpGJLSADBm5WHMLUDu5V4jD2XzZphSUzGlp4PRSPn2Haije9ilEcuq2ktBrZYcGDBevoI5N1f6/9WrCE5O0iiiDU6tm2JITsOYkgFGIyUbd+Hcz16H8iMnrTqUnzyPvMGN7VJJo4EdOGuJT+k3aevSLfHp7B+xNLL4nWe4PymHpE5W0t4zNLm7E40GduDMb3tIPXKJwitpyFSKm8bw+JWxhNrE8PjfJR+J/90+hlcSPrwbiavtR51lYU0QdSWIWWmIOekYj+9BEdWtxrVOQ8ah3/o7om18E0UElRpkMlBJ8VQsr/0Z505jeqtxAzj22V+YLc85utwiQgd1IP4WfE5l43O2Niu8kkZRfM0N1gJ7tyb//DUUTkpKEjPJP52IqcJI8pqDBFeLTcGDOnD1dyluX1t3GP/oyrhdQc7hS5gqau6on3v8CuVZBbXayYGEKIpLRVHsaPNbWi1JKmD7FiPYcqzWNIIgKAB3IPdO7svRObxz7IZ8K9JycfK3H8lyCvCiIlUqJ9FkxlhchtLLleJzSfgM6oggl6EO9cU1KgKnQG9Eo4mLM5fRZdd7RJ/6AucmwWSt2A6Ayt8bfVpVmevTc1FZGtebIgg0fO0xkud9X+OU2t+Lchu55Wl5OPnby1UHeFFup4cOpZcrmX8dwlhWQe9TX9Dr+BISP1+HsaDUcpVIh19n03XLAho8PEDSIcALfVrVaLc+PRenW9UBUAV603bHB3Q89iUpn65Bb+lc2aLx90KXWqWPLj0PTbVy0fh7okvLs+pjKCpD5eUCSA+5MbveYeDOtzk+8xvrQwuAi78nxelVsksy8nCpJtvF35OSjLxa0+x+4yd6zh7Dkwc/odfcMcS+86vddQabjnXZbd53JUH3dCb/dKK1gakkZHg3rq09aP27vuqTLYoGPhjSq6Z2GTNyUDS4/mco3EcNpGRP1XRChb8PYWs+I3LnDxhTM9FfTLSeK02r3T5l6Xm1plH7uKGzNFa6rALUPm7Wa0Lu6sil77fX0NHjhWco274bc1Gx9bApMxu57/UfsJyH30X5/sMA6C/Ho+7WCcHJCZm7G+qObVA0kN46u/h7UmJj/5L069QlG32qp2n9aAwPbllAv/efwsldGpGMX38Yg66Cx48tQfvcxxgObkBwUiMWVckRi/MQXGuOusubdUbz1AKcRj4vTSEFZF4BiOVlOI2agvrJt1D2H2N5iWVPffmdczU7labn4VxNrrO/J6W25V4tTccZoxlz+BMa3dudY+//UePeKxFcPRGLq/ISi65np05onnwLp/smI7jW9BlFi64Yz1b5mjrAE12avW3UAdVjbFWayrZC5eWKXOtE48lDuVjtvssz8rny+XoGHlvMoFOfgdmMaKjfz8ho/T0prVYW2mploa3mg2W1pAFo/GAvUnaesv7t0y6SRps+pdHGJaTO/Qxs4q7S39s+jqTnoLxBHPG8fyAlu4/dUBeFvzfG9Kq2yHCT2OQxapBdbKpEHdUEQaXAkFzzAVzm44spq+q+TdnZyHxrfiJCe+8IfFYsx3XiMxQtWlTjvFPv3hguXQaD/UO4ws8bY4aNXTJzUPhdPza53TeYsr1HrH8LKhVBvy4maPnHaKt1Kqu3dcW30NbZpsm5lEKjgVIno8k9XXAN8Koh01haflv1R1MthmssMbwSuVpFYJ8okjYcsTsuc/dGcNJgOLYLAHN+DoK7fVnLgiMRPH0xnbW/1ngiFlFfjvP85bjM+x799j+grITauNOY7hHhT2Dnpoxa+zr3/j4HvzYRt+xz1eNfbT5ni3uEPyDSdeF4PKPCaf7sEMDy3BFQS7tqE7f1tTx3/C/yL9it9AjQWBCEcEEQVMCDwNpqadYCj1r+PwrYIYp39m0SR+fwP0j6zzupSM+l05aFNHnzUQqPXEI0mxEUcoIei+Fw/1nERj1Dybkkgp67747za/DYYPJ3HEeffkcvFGrg3i4STGZ2t5nI3k7PE/bMPWgaSg+/h4e+xsGYlzk+9m0Cxg/GrWvzO85Pn5ZLXL9pHO82Gb/7e6P0qfm29k7JOxHP1j4z2X7XKzR7bpg0klFHRI3rz+55y1nWdQq75y1n4HtP1ZlsALcmQUTNfZBjM76ucS50RDeSV++vk3zqoz65De2LumUT8r+uegg2ZuSQOPxZEgY9gcLfB5l73TVIleGz4xsPc2L+L1UHLLiMGkb5vsOYC4trubp2tHcNQNW8CUU/SmtSKg4dQ7fvEH7fLMJ7/lwqTp9DvMXRnZtx+sdt/Bj9Ir8MmkNZVgE9XnkIAL+2EYgmM992fI6yJS+i7Ho3gvPN/cR4+QS6JS+g+2o2pqtncBpm+UiiTIY8pCn6bT9T/vWryDx8UbTpVSc62FKffnf03d9Z0XkKV/7cT4vxMXcky3g5Dt2SF9Etm4vp6lmchtnPBBJc3JH5BmNKqDlF+e/QbPpI4pduwFRWYXdc6e6M/+AObO08hc1tJoEgQ3D673hgi3p+GKLRTMKqfdZjOSfiuTJ4EgkjpuI7cTSC6u+Vv/vwPmhaNyLnq+u/BLhd3Ib1RdO6MXnL7Nc5Knw9CXzvJdJmfVQjftwOZX+uJmfMQxR/8SUuj4yzzyMsDNdnnqbo/Q/+tnwAlyH9cGrZmIJvq3RIGjiO1AeeI3Pm2/jMfAZFSN19e3Xz9K9o+8gAHl7/JioXNSZD3X/ruLrJQwa2I+voJfTWF9QWZHIELz+MJ+yXqlgRBJxGPkXFqq9qnJKHNQWzmdI5D1P62nhU/e5D8PavIw2q3aZChtrDhZXDXmff/BUM/mxyveQDIMjl+HVqwvllm0nbeoLgwR1pUDkjzMG/AlEUjcBkYDNwHvhNFMWzgiDMEwRhmCXZ14C3IAhXgBeBGp+7uF0cG9LcAYIgPN2/f/+pr7/+euA6XTxDNJE4BXpTkWE/klWRnodTkDcV6XkIchkKVy0Gy+Yyl1/9wZquw7p56OLTcWkVBoAuKROArLUHiXhemlevz8hFFVj1tksV4I0+/dZmwLp2aIprl+b4PzoYmbMaQanAVFrOtQU/UZ6Rh9pGrjrQi4oMe7nl6Xmo7fTQYMgrxn/6KHJ2nEQ0mtDnFFFw5CJubSLQJWVZbaHPKSJ342Fc2jWm+PAFVIFVbzZVAZLM20WfmU/ZhWu4dW1u3bCmEl1GHpqgKn00AV7oqpWLLiMfTaAXOos+Sjct+jz7t4HFl9MwlpbTcvpIGvSOQi9A5qkEXAOqZLv4e1FSTXZJRj4uNiOvtmlajOxp3Zzm0rpDDHjnSbvrlK5a69/a27xvTYAX3b+ZyuHnv6A0KcvuOvcWodKmC6cScbW8saqv+mSLMTMHZUDVm3KFvw/GzJodSm23tng98yDXxs2wTiUF8Bg7BPfR0hJgU24B2q5tKN15CADnwNrto7UZkbFNU55ThMbPQ3rj7OdBRa40hdS7TTjRn0uNsJOXK0H921Dydi6qqBY4tW0NcgVyDzdUTSIRdTrMJaWYsmuu9Xbq3B638WPJmvCi3Rv+4m9/pvhbaU2G3/ef4dSqBc5DBnH56DVcbOzvEnCdumSjj20anc0U2LM/72TId9MAaDKiO8m7TknTJcuKMF27BGpn60gggODqhVhcbdRdV1X/jSd2our3ICCNMpozk6SploDp0jFkQY2A3dVsX3d+p3TTErN9ISadnoxTCbgEepNpOe8c4EVpNbmlGfk425Z7LWkArvy5n8E/vMTxD1bVOCfpmo/gWqWD4HYTO8XtQtXvAbvT8uZdMF46ZjfFszw9H02gvW3K06vHWClNuU1boc8rxrNdIwKHdKHlK2NRumkRzSLmCgMV2YWUJWeht2xIZNaXIiicECtqH9X4u8jUbsjU0hTUsswknG30cA7woqyancuq+aC2WppG9/ckZEA7Nt2/sNb8KuJTMJfqcGrakPLTVwAwZOTax5EAHwy1xBHnHm3wnfQAV8fMsi5BuB7GjFwUAVVtkfJ6sal7W3yefYCksTPtZMpcNIR89QbZH31PedzFGtcBmHOyrVPMAeS+vpizr79JTvn2Hbi9OLUqD19fPOa/SeH8hZjS0mrqkJWLwt/GLg18MGbVjE2aru3wfHoMaY+9ZBebTFmWaaspGeiOnMLziQdwatUEgIsnku3aOtdbaOts0+TFp7Py4Xdo+8gA2j0ag0KtojSrwE6mwll9W/VHVy2Gl+faLwMIG1ZzSimAzMsPsaIcsbhA+tvTB7HQpqydNMgCGqKdIn0FQHDzRDPhVXRfzkPRsQ/Gc5I/iyWFmBLOIQ9tjDE3A4DWjw6gxZi+AGSdTLijmF6Snk/8xiNWmc7+nmQdvnRLPlc9/lVPU52y9DwyD12kMD6NyOFdSdsRh2frMGRyObr0WtpVm7itqiVu/y9SczHNP48oihuADdWOvWrz/3JgdF3m6Rg5vANEUVy6bdu21tHR0bmjmnZFUMppMKI7OZvtp53kbD5KwP29AfAb2pX8WGnzDplGhcyyrtCrV2tEo5nSS6lUpOfh3CQYpbfUGHv1bo3usjTFuCTuCurwAJxC/BCUCryHR5O/xX4KxPW4MvljTnSawIkuz5A873tyVu6yPsgXnYhHG+GPJtQXQSnHf0R3sjbbT8nJ3nyMwPul0YIGQ7uQZ9GjPDXXuv5QrnXCvX1jSq+kIdc6IXdWW4979G5D2YVkiuOuoIkIwClU0sF3RA/yblEHVYAXMrVKkunujFvnZuiu1Gww8+MScAn3Rxsi6RMyvCvp1fRJ33ychhZ9goZ0JsuijzbE17oRhjbYB9dGgVz8bB3bYmaz/K45xG8+RvOR0QD4t4tEX1xGabV59aVZBehLdPi3iwSg+cho4rdI+Zdk5hNsGUEN6dGSgsQM63UZJxNQebqg8nC23ndatftO23ycMMt9B9vct9JNS/SPL3F6wS/kHrlUwybSqKF9o1lf9cmW8tOXUDYMRBnUAJQKXO/uTckO+868U/NIGrzxPKnPvoEpr9B6XNHAh8I/tpB072SuPToLQatGbXlw8Wkfib6ozDrFqBJdVgGGYh0+7SXbh4+K5prFhilbjhNxf08AIu7vaT2+uuuLrO4yldVdppK87jCHX/4O3e595L2ykPShY0kf+iDmklLKdu+j8Ivv0Mb0RbfHfgRW2aQRXi9PJWfaK5jzbe5JJkPmLk19UjaKQOakIn3Uo2Q+NIGEzcdoZqlLDSx1qayaPmWWutTAUpeajYzmqqUu2a5liRjckVzLerSS1FyCe1jeACudkAc1wnQlDpmXP4KHL8jkyFt2xWjZRbMSwaVKnrxJB8w5km+Z0xJArQWtFJNkYS0xZ1df9lC3fqdwVrNz2Otsi5lN4qZjNB4l2cmvvWSn2spdX6LDz1LujUdFk2Sxk1t4A2u6sEHtKahl/U0l5rQEZF4NENx9JDu16Irxkv0OkYJL1SisvEl7zLn2MUjR0n5KKUBBXDzOEf5oLTE2aEQ3MrbY2yZjyzFCLPUzcEgXcvZJtokdMY+tnaawtdMU4r/axKVFa7j6zRZ0KTl4dmiMXCPFRJlSA6aaa3/uFHN5EcaCVIwFqSRvPkYjS1n43sQHfS1l0WhUNMmWehDUJ4rWE4ew7bEPMZVXretysSl/ZaAvTpHBGFKqXnDpTl3CKSwQZXADBKUC9yG9KN52yC5fdYsIgt6aTPLTb2LKLeRm6E5fQmWRiVKB2z29KN5eLTa1iCDgzee4NmGeXWxCqSD401coWL2d4k37uB6GCxeRBwcjD/AHhQJ1/35U7LOPHfLgqs0/nLp1xZQi+Zbg4oLnOwsp/nIphjNnapVfceYiytAgFEENQKHA5a4+lO6010HVLBLf154nY/JrdjrI3FysaxhlHm6o27Wk4IdV1g1qrmw+RktLfApoF0nFDdq6AEt8ajkymiuV8clbintxP24n41QC21/53k6mS0M/zHrjTWN4ZLUYHjla8pHI0VUxHEDpqqFB12Zc22wf1wBkIZHS2kHvBiBXoGjfC+MpGzuVl1E6awylr42n9LXxmBIvoPtyHubky4h5WSiatrEY0wlZWDPMmVUbSJ7+fpt1U7A7jekJm48S1L0Fp7/fxuaJiynLKSJx7UEib8Hn9DY+F2njc9cjdfcpPJuFkH8hBddwfwL6RFEcn07o8K6kVItNqVuOEz5aitshQzqTGXuDTegc/Ncj3OG01P9JBEFYAfQBfIBM4DVRFGvO0avi7rL4tPXIZaSv2EXix38SMWM0RScTyNl8DJmTkhZLJuPaOgxDQQlnJnxCeVIW6hBf2v4yG8wiFRl5nJ/6BeUp0hu/oEcGEPLU3ZiNRspTckia+gnGfOktjUe/9jR8Q9rJL+uX7aQt+oPg6Q9SejKe/C1HcG7TiCZfz0Th4Yy53IAhO59TfV+wu2Hf+/vi3CbS+umBIpMKn/5tafqm9CmL1BU7ufrxaiItemRb9Gi1ZBJuFj1OTViELikLudaJlp9MxKVJEAgCab/sIvGzdWga+tH2W2kkQ5DLyP1zLymfSG/rPfu3I3ye9CmLrBU7SPlkFaEzHqAkLp68LUdxaRtJs29m2OhQwIneU3HvFUX4649Kc0kEgfRvNpL50zarXumCk/X//v3a0MaypX7iL7u58MkaWkwfSf7Jq6RvOY7MSUnnxRPxaNUQfUEph55ZTGlyNqGjomk6eSiiwYQomjn/4Z+kbZIC5TWlNOTW981HCesThVGnZ8tLS8m0bA390Mb5LL9rDgANosIZ+MHTKNQqEneeZKdllDiwUxP6vD4OmVyGscLAjrnfkXU6Ea2vO2PXvYnG3Vn6zIUocn7RWs69t5KW00eSV+2+PS33fdBy381fGEGz54ZSkpBptcGeB9+2jo7ddfAjYh9+l+Ir6YQIVeuS6qM+ebrZr3ty7tUJv9lPg0xO4R9byPvyF7yfG0f5mUuU7jxE8DcLcGoShjFbGkkxpmeT+uwbaLu3w2/mU4iiiCAI5C//C6em4Tj37Ehp5acsLLa/e+t8NsRItveKCqf7x08jV6tI23mSI3Mk26s8Xej5xXM4B3lTmpojfcqi2vSjbh89Teq2E4TH2U/rd39hIi7DBmMuLKJk7UaKv/0ZtwmPoT9/kfI9B/D99F2UkRGYLBtImDKyyJn2CqiU+P/4JQDm0lLy3/4YwyVp04A1GQH0eutRGlrq0vZpS8my6PPApvn8OljSxy8qnP4fSnUpaedJ9rwi6TPg42fwbdkQURQpTslh56xvKMsqQKl1ov8HT+PZOAhPLwHjyT0YDq5HHtlG+kSDzPKJhn1rUfYeiTntKqbLx1H2vR9Fk/bStFddKRUbv0XMlTpSsvBWOA0YC4KAKf0q+vVfg9nExk/t25D68Lt8uUD3tx4lpE8UxnI9u19cSo7FTvdtns+qQZKdfKLC6W2x07VdJ9k/12Knpc/jHhGAKIqUpOQQ+/K3lGXko/F1Z8SGN1G5aFAqzYj6CmmH0pAmqGIeBpnFdvv+QtnrPszpVzFdPoGyz2gUTdpJG2bpSqjY9L3VToK7D+pH56JbNBXbTVW2LTbi178trS22SV6xi0ufrKHZjFEUxCWQYbFN+yXP4t6qIYaCUo5OWExZsv0MgKYvjcRYWm79lEXT6SMJGtYN0WTCJcwDU8mNP91QyfTX3ubIiVMUFBTh7eXBs0+MY+TQQTe97qc2r9J1/qME9YnCpNOz98Wl1q3xh22Zz9qBUll4R4XT8yPJB1N3nuSgpSxGxn6A3ElBuaU9yz5+hQOzviVyZA9aTxqK2qQHs5msxb9QvNW+k+PSpyMBrzyFIJOR//tWsj/7Db8XHkJ3+jLF2w8T9uNbqJs2xJAljXoY0rJJfvrNGjrI5VXjAc69O9JgjuVTFiu3kPv5r/hMeZjy05cp2XGI0O/m49S0KjYZ0rJJeWYebsP6Evj2VCquJFllpc38iIrzCXgG2G9WouraBbfnJoNMhm7DRkp//AmXx8djuHiRin37cX1+MqoOHcBowlxcTPHHn2BMTMT5kXE4PzTW2lkEyJ/2EuaCAkrzqto6bc9OeM98BkEuo+jPLRQsXYHnpEeoOHuJsl0HCfjqbVRNwjBZ46v0yQqnti3wffV5a3ta+NOfFK/abJX7Z5Ev/d98lPA+URh0ejbZtHWPbJzPDzZt3V2Wtu7qzpNst7R17R8fRNtHpL0GLm86yt63pfX1/d98lKiH+kn7J+mNVBSUsm3M2/T8dBLrbOpP948kmak7T3LYUn+cPF3oVRnDU3LY/UxVDI+8vyeBfaLY+2zVpzHuvTcPVE64vPk9uhWLUQ97DAQZhoNb0G/+FdU9D2NKvozptP2LBs2Ut6n482vpUxYqNeqHpyILCAUEDAe3YtheNWX5+zX2a4fvJKbLlHL6v/80Pi1DMelN7HvrZwpjz9HFxudib+Bz0TY+d8his9DBHeny1iOovVzRF5WRdzaJrQ+9C0DEfT1oPXkoSq0TSlcN+oJSEn7ZzblFa2htee5ItcSmbouqnjv2TZTiNsDQQx+jdNEgUykwFJaxc8zbFF1Ope3cMTQc0R2Nvwe6jAK0gV5vAK/zX8S3QQ/XaydpfOpPd/Q9wvrC0TmsI7Y3eKBeDeksr/u3wbYUmVT1Kh/AWaj79QbVse0c1geVncP6JNhQ/z5p2zmsD6p3DuuDI0XX3ziiLugddP3RpbpiTUbdre+5HuMn1K/86p3D+iBfXv9+N3Zi/U6k2ba4/uPf3Wdu/9MUt8tPbep3a/pOTgX1Kh/sO4f1QfXOYX1g2zmsL/4sqrlxTl3iVzdLr2/Ivffe/pKV26V657CucfkH5jY6/QN9gTFpy/+VHaEb8f+1c+hYc+jAgQMHDhw4cODAgQMHNtzijqL/czjWHDpw4MCBAwcOHDhw4MCBA8fIoQMHDhw4cODAgQMHDhzY8m/YrfQ/gWPk0IEDBw4cOHDgwIEDBw4cODakqSt+CqzfRav1Pe9Z9g9Ug9J/4FWEUz3roTHXv6HKZP/9k9zV/yNxxSDUb1m4m+r/vWSOon4dT/kPFPU/EZ8q6jk+qf+BV9D6fyB0PHxyXr3KX1HPG978r/BPjGjUd5Mt/wf8+p9oidzN9buzToVQ/w9PGnP916h7Mlf81z3cfBlcv8/2E1IcG9I4cODAwX8N9d0xdODAgQMHDhz8exH/nz4GOKaVOnDgwIEDBw4cOHDgwIEDx8ihAwcOHDhw4MCBAwcOHNjy/3VDGkfnsBYEQQgBfgAaIE1ZXyqK4ieW0w8BMwEBKAYmAiery2gyPobmTw7GNbwBv7d6hoq8ktu6B5WHMz2/mIxXmwjkKgUlydnEPv8FSlcNfb+ZSsm1bACSNxwhZXscPT6agFytInVHHEde/dEqo9fnk3EJ8aXkWjZ7nlmMvrAMlbuWvt9Ow69jY0wVBkrTckn8cz/xv+6h+yfPoPZ1B1Hk8k87aTikMwoXNQBqbzdy4+LZ/fjHt62Hc7AvRSnZFCVnERTdCqOugjPfbqXlowOQKeSU5xfz16j5APi0DqPPRxNQqFUk74hjv0Wfji+NImxQe0SziC6niF0vfklZZgEqdy19Pngat4Z+mMsNFF3NwLddI4y6CmKnLiXvTGKN+/JuHUa0xWYpO+I4bMmj4ZDOtH3xPjwaB7LuntfIPXUVAEEhp8f7T+LTKgylmwaFWoW+qIyEn3dxYclfdrJlKgVdFk3EMyoMfX4J+ycspiwlB5WnC92/moJX2wgSf93D8TnfA6BwVtNvddU6G02gF6XpeSi1aqsOudfRoaeNDocq7TR3DCEx7TDrjRQnZRH74lL0RWU4ebrQd+nz+LSJ4Mpvezg49werrC7zxhHcr22d5RfQLpL2b45DkMmIX7GL87XYqOuiiXi1DqMiv4T9zyym1GKj6KWSja7+todjFhvZ0vO7F3EJ9SNu3s91nkfUzNGEje6J2ted0pRcTLoK9l2nDnm1Drttv+v+wdO4NvTDVGFg/7Sv8G3gQdQ7j6Nu4Ikhv4SKnEK0Df248O5KEr7ahEyloP3iibhHhWPIL+HIhEXoruWgCfGh/573KYlPAyDv2BVOzfzG7v46fz8N54Z+/D7gZbrOG0eIpXz33KB8e1n87tqOOA5a9Ok0dwyhA9phNhgpSspir6U+dZ03joaDOqL2dEGXVYBRp2f9Pa9irjDckY3u2fAm2kAvRJOZfS98SdK6wwCMOPQRhpJyRLMZmVKOaBJRWOQefaVKbmW8KU3JZu8ESS5AxzfHEWSxwYGpS8k7nYhzkDe9v5kKMgFBIUeXU4hLkA+mCgOCQo6pXA+Ac4AXV1bt49DrP92WnXzbN6L7/MdwDfFFl11AeU4RuceucHjWt9Y62n3RM3i1Dqciv5jYZ5ZQmpIDQMvJQ4kc0wfRbObo3B9I330agOGHPsJYUo7ZbEY0mth0lxQ7Qod0ptW0+/BoEkRZeh4VBaV1Fjt82kbQ/d0nAFB4+GMqy0fU3/hD73MXfMiefYfx8vRg9U9f3DAtgMzZG5lKy9CtC+rM55SuGqIXT8Q5yBuZXE5ZZgEuIb6YdBXknk7Eu004AKc/WU3i2kN1noehtAKPJoFkHbnEjkc/qDM9zn6xgcu/7aHzvHFEjopG7qSkLD2P4+/+btXDtqxvp60D6DxvHKED2+Mc5M35ZZs5+sbyOy6LBt2a0/ebqVTkF6P198JYVsG5z9dzbslfdP3wKYIGtKU8p4iNg1+5bZ9o9tRgIsf2QePrjkylpDQlm/1TvqT5hLvwbhOB2WAkJy6BQzO+wbN5CN0+nlCnsUPtpkWuVmIsKSd5+U6uLFkLQKfvX0Lb0I+9A2fTdvGzeESFo88v4diET6xxvO+eD6xxPP/YFU7P/BqAbqteQe3ngalcj9xFY1k8KXL1511crKWt62TzzHHQ8szh2TaCDu89KSUS4NwHq0jbeBRNoBedFk1E7euOKIpc/WkH+stptHjrEQS5jGvLdxK/eG2NPNoseRZ3iw4nnpZ0AHBtEUrr955A4aJFFM3sGzQXQSGn29rXrNdrArwBPgZeqFGZHPzrcEwrrR0jME0UxRZAV2CSIAgtLOeuAr2B1sCbwNLaBGQfucS2BxZaO3G3S8vJQylLzyfn2BVOf7Sa3NNX6bLwMQCyDl9k3cA5rBs4h1Mfr6brwvEcmLGM1dHTcAv3J7BvFACtJg0lI/Ycq6NfIiP2HK0mDQWg9XPDKU7MIHXnSdYNnktZRj6nP1qNaDRzfN7PrOszk01DXqfpYwM4NONrNsTMYUPMHHKOXSZ5w9Hb1iMj9hxro1+iJCOf4J6t+SV6GgfeWE6PN8axefyH/N5/FlsnLLZe03PhePbMWMYv0dNwD/cnxKLPyS/WszJmNn8MmkPy9hN0eOFeANo/N5zcs0msjJnN5RW7COoTxaroaRyY+TXdLDarTteF49k/YxmrLDYLsuRRcCGFnU99QubBi3bpw4Z0Rq5SsGXAy4hGM6YKA7vHvkvDEd1waxJklzZiTB/0haVs6D6Ni0s30mbuGABM5QbOvPs7J+f9bJfeWFrOlpjZ1l9FYSmmCgN/RE9j/w106LZwPPtmLOOPajqk7TnN6n6zWBMzm6KEdKImD7Xmf/zdlRx50z7/4H5tcAv3r7v8nhtKhwWPseuhd9nQZwYNh3fDrXEtNiooZV2PaVz8yt5Gp977nbhqNrLe610dMZZWANRLHqlbT3Bywa8IgsBqSx3qcoM6dLt+l3c2ib9iZhM75Qs6zRtH1MLx7B+1gPWNHqcit4hjkz7DpNOTvlHys9Cxkg7bu71I/JcbaWnRAaA0KZNdA2aza8DsGh3DgLs7YSotl2xmKd/fo6cRO/Nrul9Hnx4LxxM7Yxm/W/QJtinfVf1n8aelfNtMHkpwvza4R/ijLyrlwKxvKM8rZsvo+YgG4x3ZqNt7TyKKIsvDx7Nv6lK6vf+knbxto+ezIWYOxtIKDk1fxpoe03C1kWsbbzJiz9HSUvcD+7XBNdyfNT2mcWjG13S22ECXVcCmoa+zIWYOx95fiV/7xqwf+SZ7p3+FvqiU1YPmsHrQHEpSckjaeOT27PTcULq/9Sh7pn5JwaUUKnKK2Pfsp9aOIUCkpY6u7TGNC19tot3cBwFwaxxIw+FdWdd3JjvGvkunhY8h2GxUtW30fDbGzLF2DEGKXee+3kxFQSnbn/i4TmNH/oUU/rrrFdYOnIOxMAO5i2+tcm0ZcXcMX3z41k3TAQhKDYJciTH/Wp36XNPHYii8lMq6mDmc+mQ1/t2asbbvDK78vpfQuzqybuAcNg55nRYT7kHpoqnTPA7M/BonD2dip9TsGN9JHptHzafjq2MJiWmHX8cm5J5MYPMDC9EXltHKRg/bvG6nrQuyxIucU1fJ2H+e0Hs61UlZgPTsgghr+szg93aTCBveFbfGgST8uocdD70H3L5PaPw9afrEQE6+8zu5cQmk7TjJtY1H6bzwMRJX7Wdtz+ms6/cyCrWKRmP70Pnt8XUaOzYOmotoFjEbTOwfNZ/Ae7vj0iQI/7s7YbTE4JCxfTEUlLKj21QSvtxA87ljrTYpTcpkz4CX2TPgZWvHsJLjkz5lz8DZAOx9cCGbe88gZEQ3XKs9c4RZnjk2dZ/GpaUbaW1pJ4ouprB98Fy2xcwmduy7tH/3cQS5DNFo5tQby9nSewY773mNyMdiaP3Bkxwe+w67e75k1cGWSh12dZ3K1S830OwVSQdBLqPtp5M4Pf1r9vSezsF738RsMGIqLSe2/8vWny4lG2BVrZXpX4y5nn//Vhydw1oQRTFdFMXjlv8XA+eBSk/ZD+Rb/n8QCK5NRv6ZJOvbLlvkGie6fvgUg9e/wd1b3iJ4UPta7yFkUAcEuYyrK2NJ+G0vPu0aoXJ3RuXhYpdO4+eB0lVDzvF4AOJXxhI6uKNVRvzve6Xjv+8lxHLcvUkQeaeTACiKT8cl2Ae1jxu6rALyTicCUoel8EoamgAvAJQuGhr0aEnKpmO3rUfCb9I9yOQy5GqldA8RARjLKzAbpV2+ynOLAND6eaB00ZBl0efSyljCBkn3bSjRWeUqNE5U7rTr0TiI1H3nAPCOCsdsMqP2cSP7eDwqd2c0fh41bKZy1ZBdi80Kr6RRFJ9eUxERFFonvDs0pvRaNiadHkNBCclrDhI0qINd0sDBHUj8bQ8AKesO06BnSwBMugpyDl/CVG6oIb4Slwh/tH4enFu2GeCGOihtdLiyMpaGFh3S9pxBtOyCmXU8Hq2lDI26CrKOXMJUYZ9/6KAOXFkZW2f5ebZoSEliJqXJ2ZgNJpLXHCS4mo2CB3Xg6u+Sja6tO4x/dDUbVdS0kULrRLMJd3P249XI1ap6ySP3+BX8ujS11sucm9jjdv0uw1JPi+LTcYsMQJeaQ1lyFqLBROrqA0Q+czeliZnoLLEjYFBHrln8J23dIXyiW9W45+rItU5ETribSx+vBqDhwGrl63YdfVyqla/F71JrqU8NB3Yg91wyeeevcfWPfajcnZEpFYg2u/n+HRt5t43g6qr9ACT9dQiFWoVHM/sQW13u1ZWx1utt403Cb3vtjl+12MC2TM0GE2a91KFtGNMeo668hp3cwv1R+7iRcejibdnJq0VDihIzKU3LlfRZc5CQGnW0PQkWOySvO0wDSx0NGdSBpDUHMeuNlF7LpjgxE+92kbWUdhVFV9LwiQpHl11YpUMdxQ5Tud56HEHgVvaA7Ni2Ne5urjdNByConDGXFwN163OIorWzFBLTnvL8UsxGMzKZDLPRhNrbDaOugvzzyQT2jarTPHKOx1tGpO0naN1pHkpnNRUFpQQPaEdhfDoZhy6SffQySlcNhVczrJ2/yrxut60LHdSBwsuplCRnk3XoIgonVd2UBaBy11KcmEmJJW5X+kTWoYvo86XZVX/HJwSFnODBHbi6ah8KjYqswxdRuTuTdybJmnfOiXjcIgPqPHZ4t4tEdy0bzCKi0UTa6gMEDu1C5IS7ufzxnwD4D+pAiuWZIH3dIXxvIY5X4tmukbWtEw0mrq05SGAtzxxJFvmp6w7jZ33mqPJbmZPS6rblWQUU2DzrlWcXUpFdhC5JaovSVh+ggU25ATQYXKVDxl9VbZFPnyiKzyVTfC4ZAEN+CVTb1d05wh+VjzvA3ltW3MF/FEfn8CYIghAGtAMO1XL6CWDj7chrPWU4mbHn2HTPa2wdtYD2c8cg1zjVSKf2cUPl7kxpWi66rAI0Pm6Upeeh9nbFt0MjhmydT/8fp+PXuQll6XnW68rS89D6ewKgsXT4AKsMgPxzyfh1bYpvh0aM2Ps+LqF++HVtZpe/c7APXq0akmsJosGDO5ARe9baQbsdPSrvwcndGaWzNEXVI8Ifo07P4O+mcd+GN2k8MhoArb8npTb6lKbn4WzRB6DTjNE8dPgTGt/bnaPv/wFA3rlkwu+SAplHkyDUni44Wx5qSm3sUUlteVRPU53E9YcxllXQc/l0fLs25cIX69EXlFKWnoemFvllaZJ80WTGUFSGysulNrE1CB3eDV1OofWB8kY6XK/cbWn8YC9Sdp66YZ5af886za8wPp0yG3ll6XloAuzTaqrZSH8LNmo9YzQXvtiASVeBTCmvlzyk67zA5lMctel6I3vcyO9C767qBGn83DEUVb3w0KXn4dmhMamrD1iPqQM80Vn0FE1mjMVlqLykB25tqC+9ty6gx5+v4NWlqfWa5jNHE//Feoy6Cuu9llazlXM1fZxv0SeaPCDVJ62/JwonJYgiA5bPQNvAg1aTh9ql/Ts2MuuNuDUOtNpIkMvxbBEqCRBF+q+YRf/fX7Yrn9K0Kh9UV5OrtsjVVK/jNtdoA724Z9sCIkf24PLKWMoyC+zsFDG8K1fXHrxtOxXGp1vTuoT60uiRfjR5PAbfzlVlJZWNfaxw8nJBE1B1vPJerHFGFOm3YhaDN71Jo4f61rC57UuPuowdPu0iGbHjbRSewZhKar74vBMEuRzMVaPOdeVzF77dinvjQEYdX0LDoV04t3QDiCJ555KQKeS4NPTDydMF/+4tcA70qtM8Kq9Xe9t3kO80j6HbF3LktR/R+nuSeyqBoD5RyNUqdNmF+HdthnOgl11et9vWOQd5E9i7NXEfSoM8+uKyOikLAM/moXi1Caf/j9Nxt0x/rh63b9cndBn5nP98A+H39aDj/EfRF5eRsfsMZWlV9yQo5ESMiqbgQordfddF7Ij+bBJeXZtx5dO1VGTmU56ei/9dnYj/Yj0mSwxWB3jZxXFDtTjea+tCuv/5ql0cB2j78QTafT4ZJ5t2S1fLM4fG3xPddZ45vNpFErPrHQbufJvjM7+peslTae9gH9waB1JyMcV6rDwtF3W1PNQBXpSn2uug9HLFOTIAURTp/MssorcuIGKSfTsAEDCiO+lrDsA/82WROkWs59+/FUfn8AYIguAC/AG8IIpiUbXTfZE6hzNvR2ZA71a0nDyEu7fOJ+aPOcjVSpyDvG96XeWzUNGVNP7o/ALrYuZw4dstdHh17I0vrEXGmSV/YaowUpqRT/aJKxRdzaDDa1VyFFonei2bwtFXf7J2BsNGdCPR5qH17+pR6Q2CQobSRcP+135kw0Pv0OGFEbiH+9/08iPv/s7yzlO4/Od+Wo2PAeDEp3/h5ObMyM3zcQnxpehqBmIdf7PHt20EZpOZoy99TfKaQzSdcDfOoTefWnW7hI7oRllG/s0T3gJRzw9DNJpJWLWvTuTdan6Zhy7UuWyPlg1xCfMjZdPtTWv+N2Drdyo3Z4ZsmU+zxwdSkpyD7XdmBbkM51Bf0iwdkRtRkVnAlg7PsztmNmde+4mOn01G4aLBrWVDtGENrNNS65I2zw3DbDITX1mf5HIadGrC3smfkXvqKv7dm1tHZ2+XSjMUJ2ahdFZbbWQoLbeORm4e8SYbBs3l6Nwf0QZ44VftQepGcm9EWVoe6wfMJn3/eYL7trE+FFYSMawb8WsOXOfqmlTaKcPiB2VZBfza+QVOvbOS7MOX6PHZsyiqTf27HbaMeJONg+ay86H3aPLYgFuyw+1SW+zIORHP6n6zMBakItN4IC27/3dSWe6BfVqTdzaJle0nk3XoIi2eGozSRUP6njNU5BXT/YOn6PnZJLKPXa7x0HynedSXHusGzqHzW48gk8vJiUsgdUcc96x9Dc+mweSfv3bbelTHLcKfxL8OYSyrqAMNqnTIO53IwZe/5drGY1z4dgt9v5laJ/JV7lqCB7Unc9859jz+EQqtE2H39bBL03nhY2QevED+2aTrSLn+fd+IsrQ8js/7mbS1Bwm+vxcqH3fUQT4o3LRk3EIMrsgsYFuH59gT8zJnX/uR9p89Z40NJ55dwu6+M7n4zu+ofT0IHR19y/duS96JeLb2mcn2u16h2XPDpBFEC3KtE92+foHEX/dgNhpvIOX6yOQyvLo05cSzn7J/2Ov4390R75727UDgiG6k/rn/b8l38J/BsSHNdRAEQYnUMVwuimIAEGc5dTfgAywbNmzYt3/99ddmgPHunemnbXwrgtnz1KIa0zm6ffQ0nq0aIlMpcjpdAAEAAElEQVTIMRtNyNUqDMVlOAd6U+LnQXluEdoAL4oSMqxBO3XHSQQEnIN8rHK0AV7WzoUupwiNn4f09s7PA7PByJAt0qYv28e9h87yhvy+gx+BCE5eLuiLdPRaNoXEVfu5ZgluTl4u+LSNYPcTH9+yHrqMfHaOex+T3siQnW9jNprIvZiCoUyatlWano9oNFGUlEV5fgnphy7g3SKUjCOXrKN+IG0EUVpLZ+nKn/u564eXOPrBKpqM7IF3q4ZWm4QO7kBxUrb1+uqdrbKM/Bp53KxDFn5vd1J3nUKfmoOTtys5Ry7h1SYCbYAXulrkawO90KXnIchlKN206G+yIVGjx2Jo/MRAnEN8JRsEVnW0r6eD1kYHbbU0je7vSciAdmy6f2Gt+Xk2C2GYpS7kxCXUaX5eLUPR2sjTBnihS7eXp6tmI9VNbOTToRFeUREMPfQxMrkcJ183gu/qxOGXltVJHo0fiyHSMgqTG5dgmTpXu643s0d1v6ucMm0o0bH/xaolyqOOL0bpWvUQ6RvdEl1aLhU5Ve+hytPz0QR6U27RQeGqRZ8nTb8z6yVdCk9dpTQpE5dIfzzaRuLZJoK7zn+JwkWDIJej8HSxK19tLT5VehOfaDy6J03H9MFQUs6IzfPJOZkAZjMZhy5SkV+CpoEnyZuP4d0qjIzYs7dlo1aTh6HQqBiyZT65cQmk7ztHoqUz9nDid+SelDbKqPSzwospmCzTubIOXcQ5sMoHy6vZvsJie11GPs6B3lSuAK+8psljA6yjb9knE5DJZfh3aUri+iNoA7xQumqRKWTkWqZg3YqdQge0Y8MDC/FuEYpzgBdmvZEKfQnaAC/yzySh9nHHLcKfvFNXpVhULVZU5JWgS8+3HwGyiTOV/1bkFnFt0zGaPjWYDm89IukQl4BLqN917+9m5QI3jx2YDCCKCAololFfe5pbQKZ2Q6aWRk9EYwXIFEBFrfd0s/u+ns+1mTYSuUqBf/cW5MYl4OTjilujAHLjEjCbzGwZNR9dVgE9lzxLUUJGneehDfCiPLf4jvVo9EBvziz5i6aPDqDxQ31Re7mSfy4Z50BvTi1ay6lFa7l3z3uYyvUUJmTY5XUrbV3YkM70sKzvVWicaP74QBo/2BuVmxaFi4aA3q3tNqz5u/GvOCmLyJHRpO44SZcFj+Ea6V8jbt+OT/i0b0T7V8eidNFwbcMRNA08ubbhKL4dG6MNlO6p9Yv3ovZ2ZfeMb9D4utvd953EDtv7VXm6UHwhBe+uTfFoG4HK05X+RxYhyGU4+bhjLC23i+PKG8Rx58gACk8mUG7JoywxE31BKV5tI0n+PRZNLc8cuox8NDd55ii+nIaxtBz3ZsHkn7wqbRjz9Qskr9pH7tHLtJ52nzWtOtDbmn8l5el5qIPsdTDkFaNLzyPvwAUMFn2ytsXh3jqc3L1SO+DaIhRBIafIpv78N2H+974Dq1ccI4e1IAiCAHwNnBdF8UPgU6Ct5adAWlQ7bu3atW+JothRFMWOt9QxBNJ3nabp4zHWvz0tnZoDU5eyIWbO/7H33vFR1cv///Ns3/TeE5LQS0JvoXdEqmABRcFCF0R6sSEI14YKNhT1qijXCoogHSH03msICel103aTbef3x1k2u0loQu7P+/3sywcPs+e8z8yZmffMu89hQ4+5bOyzgItfbMFqshAzojOxj3Qh70QSpmK900qDf4tYQMRYVEZAK2nvfd0Rnbm+WToXmLblGHUf7iJdf7gLST/uYUNf6UC7IJdMX39Ud3SX0kCAioJSOr7zLEWXMzi/qnK3bNSD7UjbdsIpC+Ht5Ng5+m1A2tOf/PNeNvZZgNVssW95Krmei0wpx5BfjEKjIqhFXQqvZKDP0WEqNRBkk6fBiM5c2yLJ4xUTbOdXp18rdLaB6eVf9/HrwJf5ud8CzOVGLCYzplIDga3qYizW27eK3IAhR4exRLp/Q2epNp3dDGXp+YR2akrBiat4xoYS0L4RJdeyiRrSgfQqz2ZsPkb0I10BiBjYjmxbZ/lWuPLVVtI3HeH8yt9J3XyUeiOkWcJbyWBykKGegwzh3eOJmziQbWPetWdbrIrCC9f5re8Cfuu74L7zyztxFc+YENwjA5Ep5UQN6UDaFmcdpW85RszDko4i70BHV77ezvpWU/i9/QtsG/oaJUmZmIr1943H5a+28mef+fzZZz7pfx5BppADENCqLqZb6ONO/O7GdaWXGzKlRLf+qO5kJp7BLSoIt6hABKWc4L6t7OcLbyBry1EiH5FohQ1sT95eSQaVvyfYEpS4RQXhHhNCWUoO1/69jc0tJrOp8Xi2JbxIyaU0EmetdrKvqeQm8pQ62zdli7N9fxv4Cr/2nc+6fgtI+fMoPvXD8W0USVCHRphK9ATERaO7nH7XOkIUOb96Mxv6LiBjzxnq2uRtOfdhjCUGSpKzkGvVKGxb0o0lBuRqpf1caEwVurG252Mf6eJ0PcamgwCHOp62+RibbQlp0vecIaBFLEVJmXY9hXdt5rRqeCd62jpW8oPck1fxignBPy4auVpBnSEdKDh9Dc+YYEpTcwCpjsba9BA1sB3Ziefs71tnSAdkKgXukYF4xoSQfzzJSQ9yrZrQbs248u1ONvVZwKY+ki9rA73ttr5fscMjMtDeZiBTIMiViJa/t9JwA9byYsy6dMy6dKwVZfaB4v30uZyDF0j+ZR8b+i4ga/95vOoEU5qSQ2Drepj1FRhydPg0jsSncSQZf52+rzxuyGHUOXfS/w6PsvQ8Qjs35eK/t7Ft1L8wlRhI/u0AdR/ujNrXg8BWdbGazHjFhpBhy+B5g9edtHXXNhyytwf7Zn5O3slkfuownZQ/DmHIKuRMlcyVf0cGTaA3+ba2IaJfKwSZQESfVqRtOeZE+2584sSStSROWIkhR0f6jpPEjuhMSOemmMsrMBbrCe/dgrDucSRO+hBEsdp730vscAv1Q65Rkn/iKh71wvBPaELZtRzcooJIHPgy29tOZe+QVym9msnFN38gwtYnCL1NHNenZEuTmbZtp0VnruEeFUh5jg5BKSdySAcyq9gwc/Mx6tjohw9sR46trXNz8Fu3iAA864VRZkuS2Obd5yi5nM7lTzdReOIq7rEhaG1tUdjQjmRX4ZG9+ahdhpBB7cmz8cjdeQrPxpHItCoEuQz/hMaUXqpsB8IeSiDDtWr4PwdBvJO18/9jEAShM9LB2dNUJhSaL4riRuBzYDhwY3+CGWjzbdgTYo9vZnJg5ucYsnU0fKYvTSYORBvkTXleMRk7TnJg5ufINUravDaagDb1EWQCpam57HJIcX0DKl8PunzyPP7x0chUSkqv57J32icEtKpHwyd74VEniMJzqRx5bQ1Wo5mE5eOk1Mw7T3LI9okCta8HXT95Hvdwf8rS8vhrwgqMujICWtejxxfTUXm5YbF9+uHIS98gyAT6rXsZU4mB0ox8RLOFE0t/oOmkgZxZ+TuZuyrPn9ytHO7h/hSn51GSlkdYx8aYy41k7D1HRJdmiFYram93vm07FYCA+Bh6vDsOuUbF9V0n2WuTp8+qqfjESvvbS9Py2D3vS/RZhQS3qkf398aDKK0qVOhKCUlogsVgJPHFVfYZz8FblvBb3wWAlLim83KJR/rOkxy08Yjq34b2i59E4+eJsVhPwdkUtj7+Jgo3NZ2Xj8O3fjgKDw1yjQpziYGra//i/PvraTZrOAUnk8nYcgyZWkmHFRPxaVYHo66M/RNWUJYqBeSBh95D4aFFplJgKtLz18hlFNsC6YMHlrP7iTfJvppFhyVPEd49HovByJ5byNDFQYYbn6YYnvgOcrWCctsB/9xjV9hvy5A44sByVDb+xmI9m0cuo+hyxn3nl7X5KK1eG40gl3F17V+c+2A9cTYdpdt01PGDifjadLR3YqWOBh18D6WDjnaOXEaxw6DDPSKArl/P5MTi7+87jxYLR1JnaALaUF9Ei5WKwlJ2PPm2XR8Dtyxhg4M+7tbvOr83HlEE3cU09s/8jDot6xG3aDSCQo460JvNzSdRb+KD6E5cJcsmQ6uVk/BuVgeTrowj41egT80h9MG2NJr9MKLJjGgVufDWz2Rvde5kaSMD6PDNLH7sPY+Oi58ions85nLJvnk2eYZuXsK6fgvsftfV5ndpu06y3ybPw4nvIFMpqLDZN+fYFfbN+5KOi58iZmA7VJ5ulGXmk7rxCMeWrL1nHfX+ZhZyNzWWciM7n15O9r7zeEUGMnDnvyi5momgkJO9/zzBHRoh16jI2HmSwwu+rhZvytLzpHT0ujIA2r7xFGHd4zEbjFI6+lPJhHRtJm3NF0VEmUB5YSkeYf52PfX4+Hm2PPkWPT6a8rf0lLr1GF3eeha1rycVhSWU5xRRnJTJtXX77XU04YMJ+DWLpkJXyt6JKym11dGmUwdT97FuiBYrR1/+hoydp/CICqTr6hcA6RzVtV/3cfYDqeMe0b8NbZY8iTZIGhxaDEY2PfzGfYkddYd3Im7yIKxmC34N7+xTFrNeWcbh46fQ6Yrx9/Nh0jOjGT6o303L3/iUhe5SFvscYtC91CdtsA+dlo+XEqoIYMgpwjMqEHOFCYVGhaXChKnUgMrbjfVdZ99fHgYjVosF91A/FG4aBIWMnU+9Q8Zfp++Zx5kPN5D0y146LhtLvUe7gShSnJzFnqkfU3A29Z7aOoD2tvZA6a4hed1+jrz67T3bouGYPjR8shdyrRJtkC/GwlIu/XsbZz/4jQd3LEMb4oPSXUN5bjGGXB0qL/c78gmAuJkPUWdwBzT+nsiUCsrS8tj/wir6bXiVsrQ8tMG+FF/N5PrGw6RvP0nCe+Pua+xQe2qRa9WYy8q5/v0uLr+/joazR6BPzyP2uQHs6beAlisn4d0sGqOulGP2ON6OhrMfxmoyg1Xk4ls/kb31GHI3NQm/voxMqUCQyyhOzsKrQTiCTMa1tX9x4f31NJk1nMKTyWTa4kg7hz7HQVufI2pEZxpOGYRosiCKVs6/+ysZfx7Fv10Deqx/Bd25VHvymOyNhwgf3hlBLiPt+11ceW8dDWaPQHcymZzNR5GplbRYOQmvuGhMNhkMKdIkV/jwztSdOgQQydl2ggsOGdF7HHqPQ6PepOxKBg9mf/8/tw63POqJWh0kTU/99h+pE9fg8D7h27DarUC1vbQt+y9Ug7L/wjq1upbl0FprX1F62T8yVtwVNP8PxBWTUPt28L7H80F3gjxF7Tqe8r9g6v9GfKqo5fik+S/kLTf+F0LHEycX1Sr975u/fPtCLvxX0uDXdpMt/y/49X+jJfK2WmqVfoVQ+50n7X3O01ATXIPD6vinDg5dZw5dcMEFF1xwwQUXXHDBBRcc8E/+FmFtwnXm0AUXXHDBBRdccMEFF1xwwQXXyqELLrjgggsuuOCCCy644IIj/vcPyPw9uFYOXXDBBRdccMEFF1xwwQUXXHCtHN4vdAvPvH2he4Bng9qdv8g6rKlV+gAXin1qnYe5lpOIlPwXksU0sJTXOg+dqLx9oX84CuXyWqUfZb4/H4G+FU6r1LXOY3hk+u0L3QMOXQ2tVfoAGrH2T37U97v1t07vFYcKAm5f6B7RVl1U6zxqO2HMyFpOeANQNHpsrdI/dKz2feK/AZHabe8Oamt/fWKwuazWeZwRPGqV/n9jFaeOrPb7Hf+LcH3n0AUXXHDBBRdccMEFF1xwwYX/s3CtHLrgggsuuOCCCy644IILLjjAla3UBRdccMEFF1xwwQUXXHDBhf+zcK0c1gBBEDTAbkCNpKOfRFF85U6f13Rsi8+MySCTUbZ+IyX/Xut032PUCDyGDEC0WLDqdBQsegtLVg4A3lOeQ9u5PQBFq7/FsHVXNfqK+LZoR08BmQzjro1U/P59je+hbNsF9xdeo2ThBCzJl1A0a43msecQFApEs5ny7z7FfO54jc+6d2lN0ILxCHIZuh83U7DqR6f7vmOH4fNwP0SzBUthEZnz3sOckYO6cSwhr05G5uGGaLGS/8l/KNm4G4CgHvHEvf4kglxGypqdXF75uxNNmUpBqxUT8YmPwVhYypHxH6C/nme/rw33p9fut7jw9s9c+fgPSUYvN1q8+xxeDSNBFEn6dgd1n+yFIJeR/N0uLtbAo+0HE/GNj8ZYWMqB8SvQp+Xh2yKW1m89KxUS4Nw7v5Cx6YjDgwK9/lxMaXYh2556h/aLRhPRswVmQwWJ01eRf+ZaNR36x0XTZfl45BoVaTtOcPDlbwBos3AkkX1aYjWaKUnJIfHFVRiL9ah9PeixaipBzWPI+c8urs5fjU+PFsS+PhbkMrLXbCd95TonHl4dGhOzaCzuTepwccJy8jccAEAdEUCjL2aDTECmVJC5ehNZX2+xPxfYozlNFku2uL5mJ0krfqump+YrJ+Fts8Xxce9jsNnCs0kUcW89g8LDDVG0srffQqwVJhrOe4Twh7ui9HHn2DPv3Xf6glJOs6VjCRnUAYWbGn2Ojt3PvEfB6eq694uLpuN741FoVKTvOMGRlyTdq3zc6fLJFNwjAilLy2XP+BUYi/R41Qul47vj8IuL5sS/fuT8JxvttBRebjR8dyKereqhCvTGmFdMxhd/krrC2RbeHRpT7/UxeDSpw7nx75FrswVA/PcL8Gpdn6JDFzj9xDKn57q+Npo6trq07cVV5NZQlwLjoun9riRPyo4T7H7lm0raY/oQ/1QfrBYr13acYN8ba5Ep5PR881kC46Lx1lgxbNpC6TffoW7fFu8XpoBcjv73Pyj9xjl2uA0dhPvwoWCxYjUYKPrXO5ivpSB4eeG35FWUjRth2PgnRe9+4PRcbfh238PvYyo1gMWKQquS0sbJZaSt2UFylfokqBTEr5yMV3wMpsJSTo57H8P1XEKHdyJm0iB7Oc8mUezrPY+SsykISjlNlj6NX0ITRKuV0g+/oGxbovQ+ndoQMHcCglxO8c+b0K3+wdnWTz6E1/D+iBYLloIicl96F3OmFMNjT27EeFmyoTkzh6znX7U/F9o9nlavj0aQyUj6fhfna9BThw8m4hcXTUVhKfsmrKAsLQ+VrwedV03Dr0UsyT/s5uiCf9uf6b5mNpogH2QKOZajp8l4+WOo8kFrj66tCH15HMhkFP6whbxPfnK67//MUHwf6QsWC+aCYtJnv4cpI9epTOjL4/Do3oZwvZm901dRUEM99YuLppMt5qXvOMHhlyv9ruvHU/CIDKT0ei67J0h+p/TU0nnFRNzD/ZHJ5Zx18DuZmx8ylRsAFn0horH62bGFb7zL7r2H8PP1Yd23n1S7fydQtm6H+4TnEWQyyv/8A8OP3znd1wwYjGbgMLBaEMsNlH7wNpbUFADk0bF4TJ2J4OYGVhHdtPFgMlbjEdCjOU0WP2WLhzu4WkM8jF85GW9b/T1uq79hwzsRW6X+Jtrq79+leYNOs7eeReGhBVFkb78FWCtMhA7pSN0XhiLIZORsPU7+3nP3PY63/X4ummAfBLmcoKMX2fDSl4jWypwKA155kvo9mmMyGPl15qdknr1WTZ+9Zj5Mi4e6oPF2Z0nTZ+zXW4zoSr95IynOls4PH/z3Fljzh/2+V/eWRL32LMhl5H2/lawPf3Gi69G+CZGvPoNb42iuTn6bwj/22++pwgKo89YUVGH+IMLlJ1/HmJZjv9+uSp+gJv/wj4ums0Of4JDNP+oMbEeLFx/Cp34YGx58hfxTyXaaUf3boPH1wJCjw2ww8seDL2OtMNlp3q3PAQR3bEzb155AppBTXlDClhFLHIwqI27PSpSBvphyCsn9fluNeop67WncGkeTNOkdJz21Sf0Jw4VUACrSc7kydmk1PfwvwZWt1AVHVAA9RVFsDrQA+guC0OGOnpTJ8J09ldxp88h65Gnc+vZEEVPHqYjp4hWyn5xI9qjn0G/fjc/UcQBoOrVH1ag+WY+PI3vMFLyeeBjB3c2ZviBDO2YaZW/OpWT2WFQdeyILd6YvEdOi7j8c85Vz9ktiSRFlby+gZO6z6D9ZhtvEeTeVIfiVSaQ99zJXB0zAa2A3VHUjnRV0LolrD03j2uDJlPyZSNDspwGwGirImP0OyQ9OJO3ZlwiePw6ZpzvIZDRfOpb9o95ke9dZRAxLwLNBuBPNOqO6Y9KVsa3jiyR9uokmC0c63W/22hNk7zjpdC1u8ZPk7DjJ9i4z2dFnHvWf7Ufi42+yudtsIod2rMYjemR3jEVl/Jkwg0urNhFn41F8MY3t/Reyrc98Eke9Sas3n0aQV7pH/ef6U3I5A4CIns3xignh584z2DdnNR2XjqlRjR2XjmXv7M/5ufMMvGJCCO8RD0DG7tOs6zmX9X3mU3w1k/gpUuNvKTdx7M2fuPbaN3Y7xC59lrOjlnC863QCh3VG2yDC2Q7peVye9iG5vyY6XTdm6zg1cD4ne8/i5APzCH9+KKpgXzvdpsvGcmjUv/iry0zChiXgUUVPkaN6YNKVsavDdJI/3Uijl0YBIMhltPhwMqdnrWZ3t1kcGPY6VpMZgOwtx9jbfyFArdCv98Iw5B5adEcvsynqSQ7OXk27m+i+3bKxHJz1Oes7zcAzJoQwm+6bThlEVuI5fus8k6zEczS16b6isIwjL33DOYfO6Q3UWzyWgl0nEE1mDnefydHeswga1gm3GmxxYdqHZP+SWI1G6kfrOT9lRbXrdXo0xycmhG+6zGDHnNV0f6NmeXq8MZYdsz/nmy4z8IkJoU53SZ7wjo2J7dua7/rN57veczn+qfT+9Qa2Q65W8H2feeSNHY/b0EHIw0LwnjmN/BlzyRk1Bm3vXiiinWOHYct2ckc/Q+6Y5yhdsxavqZOkG0YjJZ99QfHKj6u/nEyoFd8G2Dt8CTv7LkCQyzkyahmJXWYQOqwT7lXoR4zqgUlXyp4OL3Dt0z9oYKtPmT/vZV+vuezrNZdTUz7EkJpLyVmpY1/3hWEY84rYkzCdxC4zMRw5ZZNHRuDCyWROXEjq4OfwGNADZWyUE7+K80mkPfo8aQ9NpGxrIv4znrXfEyuMpI2YRNqISU4DQ0Em0PqNMex6/E02dp9NnSEd8arvLEfsyO4YdWVs6DSDi59torlNT5ZyE6fe+pETi5wHLgCJ41fwZ5/5bOwxB7mfF94DOlexj4yw1yZybewrXOk3Ce9B3VDXc47n5WeTSBoynSsDnqd4UyIhc50Ttnh0b4MqOozLPcexf85q2t/E7zosHcv+2Z+zzhbzbvhds8mS362z+V2zyZLfNRzTh6JL6Wzos4DNI5bQ5mVbHFBqERQqzLo0zLp0ZFpvqCHZ2NABffjk3cU1vssdQSbDY/ILFL80m8LxT6Hu3gt5lLNPVOzahm7SWHRTnsXw4/e4PzfZ9qwcz9kLKV3xDroJYyiaMw0s5hp4CDRd9jSHRy1jd5cZhA3rVC0eRozqgVlXyl8dXiD50z9oaKu/GT/vJbHXXBJ7zeXklA/R36i/90BTkMto/uFkzsz6nD3dZnFg2CKsJjNKXw8avfw4h0YsZk+3WaiDvYl/b/x9j+PHn3ufPT3nsrvbLNz8PGn6YHs7vfrdm+MfE8L73Wfw2/zVDFpSc+Kgi9uP8+mQmhMjndlwgI8HzOfjAfM59p9dDnaQEbV4PJdGL+Jsj+fxG9IFTX3nGG5Mz+Paix+Qv253Nbox779A9ie/crbH85wfOAtzns5+L9zWJ/il8wz236JP0GHpWPbN/pxfqvQJdBfS2Pnc+2QfuOhMMzYEY1EZ++d+IQ3iHl6CaDJXo3k3Pqf0cqP9G2PYOeZdfus5l93jndul4OcGoQzwoezEJc70mIr/0M416CmX5OkratSTtdzI2b4vcrbvi//zA0MAK2Kt/vunwjU4rAGihFLbT6Xt3x1ZUdW0Eabr6VjSM8FsRr91J9puCU5lKo6eQKyQMiEaT59HHhQoMYqpQ8XxU2CxIpaXY7ycjKZjW6dn5XUbYc1Ox5qbCRYzxgM7ULZ2pg+gHfE05b9/D8bKWUxLyhVEXT4A1rRroFKBonrWSk18A4wpGZiuZ4HJTPEfu/Ho3dGpjP7gKcRySQbDiQsogqVMfKZr6ZhSpEGUOacAc4EOuZ83mvgGlCZno0/NQTRZSFu3n5B+rZ1ohvRrQ+oPewDI2HCQwM7N7PdC+7eRGsaLafZrCk8t/h0akfLdLgB8msVQcjWLstRcRJOF6+sPEFaFR1j/1qT8IAW09A2HCOrSVNKNwYhokWbbZWqlk7W1oX6E9mpB8nc7AYjq15orP0kDgNxjSai83dEG+TjrP8gHpaeW3GNJAFz5KZE6/dtIsu0+Y+eVcywJt1A/SV+GCnIOX8JaIdnMs2U9ypOzqEjNQTSZyV23F79+zvWh4nou+vMpiFVWCkSTGdFotsmjQHDoWHm2rIc+OQtDimSLjHX7Cba92w0E929Nmk1PWb8fJMBmi4Du8ZScS6XknDQzaCosBdusr+7oFSpydCATaoV+5MjuWA0VpP+4B0SRzF2nb6n7PJvuk39KJNLGP7Jfa67a6tjVH/bYr1fkF5N/8iqi2eJES+7phnfHJpRduI4hOQtDUgam/BJy1u0loIpM5ddzKTuXan9fR+j2nMFSaqh2PbZva87/LNWl7ONJqL3ccasij1uQDyoPLdnHJXnO/5xIbD+Jd9zo3hz96HesNlsb8osBEEVQatXSBIdaDSYT8ogIzGkZWDKk2GTYtgNNl05OvES93v63TKuRCIEUj06dQTRWXxXxbVnvvvt2VfqO9Slr3b4a6lMbMmz1Kfv3g/h3blqNTuiwTmSu22f/HT6yB1c/WM8NhVl1ku7UcQ0xpWZgTssCs5nSTbtw7+kc/8oPn7THv/KT55EH3z4TqV/LupRey6YsNReryULq+gNEVNFTRL/WJP8oyXF9wyFCOt+ITxXkHbqExWHF4AbMtnolKOQISiWi6Fz/tM0bUJGSiel6NqLJTNGG3Xj2cZ7rLDtw2i6P/vhFFCHO8nj1bo/u1x0A5N0m5t3wu6SfEoly8LukHyX7J/1Y6XeIIkoPLQBKdw0VujKbLCpE043siSJYjAjKKhOlQJsWcXh7eVa7fqdQNGiMJSMda5bkExV/7UDVwXlw7egTaLT2tkHZug3m5CQsyZK8YklxtRVbAJ9WzvU38yb11zke3rr+3gvNm8VYtzpBlCVnYcwvAUCfmotosdz3OO5YXxVKhVNb26hva078ItWTtONX0Hi64RHoU00XacevUJqrq3b9VnBvUZ+Ka5kYUyU/KFifiE/f9k5ljGk5GM6nVIvhmvoRIJdRvEeawLLqy7GWV8bCqH6tSbqDPoHKoU/g6B9FVzIoTnLOeB/VrzWF51IpPH+d5J/3ovJ2R6ZUOK2y/h2fix2WQOqmw5RlSH3BclubAaAM9cd/SGcMV9KxGox2Pfn2a1dFT7k16smF/3fgGhzeBIIgyAVBOAHkAFtFUTx4J8/JAwOwZFdux7Fk5yIPvHnHwX3IA5TvOwSA8XISmo5tEdRqZN5eaNo0RxEc5FRe5heANb9yK4O1IA+Zb6DzO0TXR/APxHzi5q+sbNcVy7XLYK7e2VAG+2POqtzyZc7KQxnsf1NaPg/3o2z3kWrXNfENEJQKTKmZKIP9MdiCEUB5ZgFa26DoBrShvvYyosWKuUSPys8TuZua+lMGceHtn53Ku0cFYcwvodX74+m+9Q0az3mY8myd/b4hswBtiK8zjxBfDBkFdh6mYj0qPykNtV/LuvTZ9S/67lzGsTlf2AdwzReN5tTi7+2B0C3E1x5YAcoyC3CrwsctxBd9ZoH9t76GMgD1H+tK2s5T1a4DqEL9MGZU2sGYmY+6is5uBVWYPy12vEObo5+S9uF6jLatNqpQP2dbZOSjqfJumlA/ytMrbWEq0aP088S9biiiKNJu7Vw6b32D2MmDqApBEO47fYWX1DH069SE+jOH0+qzaWgCvCjLqNnGjrp3LKMJ8MKQowPAkKNDE+B1Sx1qo4Iw5RcTM28UHs3r0vDdCcjc1FRkFKAOublP3CncQ3wpddBVaWYBHlXk8QjxpdRRnswC3G1lfGJDCGvXkId/e5WHflxAUPNYAJL+OITJUMEzR1cS/OtaSr//AZm7G5bsythhya05Nrk9NJSgH7/Fa9J4ipZXX+2sCke/hfvj2wCiKJKwdi5tPpyEzK3ykx/lGQWoQ5zpq0P9MKQ70jeg9HMeNIQO6Ujmr3uByvpUf84jdNy6lBafvYDc30e6F+SPOasyhpuz81AE3TyGez3UH/2ew/bfgkpF+H9WEL7mPdwcBpVuIX7oHfSkzyxAG1pD3XWIT0aH+HQrdP9uDg+d+hhrmZ7iTXud7ilD/DFlOsiTeet47vtIX0r/Oup0TRHijymzMhbVFM9uFfO0VfxOa/O7C19uxbt+GCOOrWTQ9qUctm2XFs1GBJUbIIAgk1YS5ff/FIwsIABrrkN7mpeLzL+6rTUDh+L7xXe4PzOB0k/eB0AeHgkieC1+C58Vn6EdMbLacwCaED/KHexuqKH+Vo+HNdffDFv9vRea7nVDQYS2a+fRaetSe4wtS87GvW4o2shABLmMwB7NnQZu97OdaLd2Ln3OfkJFWTlnN1b2U7yC/ShykKs4qwCvGtrNW6HJA22ZtGkpj340DS+HOKQK9cPoUIeNWfmo7rA91cSGYykuo+5nc2jy57tELHwKZJXd5zvtE5RVieM19Qkcy8s10rpE7zWzcQv2odmUQdXK3K3PecaGoPJ2p++PC3hw0+vEjqicDIl67WkKft/rtCpqzMxHeRdtnUytosnGt2j8+zJ8qgwq/xdhreV//1S4Boc3gSiKFlEUWwARQDtBEJrd5pG7htsDvVE1bkDxN9J5loqDRzHsPUjQFx/gv2QhFafPIVott6FSBYKA9vGJlK+pYfuXDbLwaDSPjcOwevm9vD4AXoN7oGlWn4LPnc+wyAN9CX1zJplzl9tXH/4uGs0azpVVG7Honb87JyhkeMdFk/zVNnb1mY/VaMKnSdRNqNweBceT2Np9DtsfeIlGzw9GplYS2rslFXlF6E5duycZakL81MGIZitXf9l7+8J/A8aMfE70nMGxjlMIeqQbygDve6Ypk8vwa9+Q45M+ZN/gVwkZ0Ab/LtVnue83fUEhRxvuj0lXxqnpqyg8cplWti1o94LbVU1BIcMzLoaCv06Qv+kQFn0FUc8PvWe+9wsyhQy1jwc/Dn6VvUu+p/9HUwAIbhGLaLHyRZvnyRkxCo/HHkbme2edLP0v68h5+AmKP1qF55jRtfn6N/VtgD2DX2NX3wVcfH89Hg3C8e3Q6G/z8W5VD4uhgtIL0urkjfpUePgS+/vMQ3fkEv4zn7truh4De6JuWh/dl5XxL6XvaNIffZ7sOcsImDMBRWTtf/Nu16h/8WvLyQgqJe4J8X+bjveQ7mjj6pH3WfXB+v3EDb8L6x5HwdkUfmo1hQ19F9Bu8ZMgCIgmA6JRj8InDLlnkLSKeI/tyL2gfMM6Cp8ehf6LT3Eb+SQAglyOsmkcJW8uRjdzCqqELihbtKoV/t6t6mF1qL/3AkEux7d9Q05MWsn+wa8QPKAt/l2aYS4q4+yc1bRcNY0Ov72KMa+42ir0neJ27cShx5axLX4ScpWC2IT7135c3HaMdzu/wEcPzCMp8TQPvTPhvtAVFDI82jXh+utfce7BmaijQgh4pOd9oX1LvjI5QW0bsGfKR+SfSiYkobF9N8Hd4oYpZXIZ/vEx7HjybbaN+hfxLwzFMzYE795tMOcVUZGafU/vfLL9OM4NmMXVycuJeu0Z1HVC7omeC///wJWQ5jYQRVEnCMJOoD9wxvGeIAjjgHEAS+s05PHAcCy5eciDK1fy5MGBWHLzqAp1u1Z4jR1FzvgXwVS5elfy5XeUfCmdK/F7fT7mFOfGwFqQh8y/cjVR5heAtdAhcYDGDVlkDB4LpYGf4O2H+4zFlL2zEEvyJQS/ANynv4b+k6VYczJqlNmUne+0rUgREoApO79aObeEFvhPfJTUx+c47YOXuWuJXPUaecv/TfnJi3aa2rDK2SdNqB8GhxkvAENmIdowf8ozCxDkMhSebhgLSvBtWY/wge1p9tIolF5uiFYRS4WJjN8PUp5ZQKFtu13WlmM0nvOwnZ421A9DlvOHrQ1ZhWjDJN6CXIbSyw1jQalTmZLLGZjLyvFuFIF/uwaE9m1NxJAOKD3cEOQCJSk5uDvI4h7qh74KH31WoX27KIBblTL1HulCZO+W/PnIzffkGzMLUIVV2kEV6k9FFZ3dCYzZhegvXMerQ2PyNxzAmFmAv6Mtwvwpr/L+5ZkFaMIrbaH0dMNUUIIhs4CC/RcwFUhbj3K2ncA7Lob8PWftz4qi6Gzre6Qf/XQ/tFGBiFYrxaevoQ33J/P3A7R+vAcyhbxGGzvq3j2ssh6U5xWjDfKRZlKDfKhw2FJTEyoyCqjIyKdo3zl8E5qSsvxnop4fhtVQQUVWdZ+4E4SN7UfYE70BSDmVjIeDrjxC/SitIk9pViEejvKE+lFmK1OaWUjSJmnVKvvEVRBFNH6eNBiaQMquU1jNFqyFOoynzyLz9ETusBNBHlhzbLoBw7YdeM964bby3PDbG7gfvp38xRZ7nSm5lI5ZV4Z3y3oUHriAJsyPiixn+hWZBWjDJf+Q6GvtdQggdGgCmb9Wbik1FZRg1peT/Ye0ayPr94PEPjkbAHNOPoqQyhiuCA7AnFNdT9oOLfEdN5KMMTOdYrglR6oX5rQsDIdPoW5UF/P1TPRZBbg56Mkt1A9DZg111yE+qWqITzeDtcJEydaDePXuQFniiUpZs/JRhjrIE1pzPHfv1JzAyY+SPHIuotGM3+gH8X20n/Repy6jDK2MRVXjGdw65hmq+N2NrWz1Hu3GGVtSnpJr2ZRez0Xb1AfRXIHVoMNq0AEg9whCtFTf5XKvsOblIQt0aE8DArHm39wnKv7ajvuU6QBY8nIxnTmJWFwEgPHwARR1G2A6cczpmfKsAjQOdtfWUH+rx0Pn+hs2NIEMh/p7LzTLM/Mp2H/eTj932wm84qLJ33OGnC3HyNkivX/DhSPxbFx5NvV+txPWChMXth6l25Sh9J0vTfSln7yKt4NcXiF+FFfheSsYdJW+cnTtTvrOHckNrRgzC1A51GFViD/GO2xPjZn5GM4lY7QNnAo3HyRwZB+Cxj4IQNqJa3fUJ3CvEserlnEL8aXryklYyo3knbiKaLWSffAiFYWlaIN9Sd18FP9m0WQlnrXTvFuf02cWUlF4CrOhArOhguwDF/BrEoVns3B8+rbFp397FD6eiFYrsR+8gOFSKqa7aOtMtnpYkZpNyf4zuDWLoSIl646f/6fh/+rGWdfKYQ0QBCFQEAQf299aoA9woWo5URRXiaLYRhTFNo8HSge1jecuoIwKRx4WAgoFbn16YNi9z+k5ZYN6+M2bTt6Ml7AW6ipvyGTIvKWlf2W9WFT1Yyk/6Lxd03L1ArKQcGSBISBXoOrQE9PRykxRGMoonjCM4hdGUfzCKCxXzlUODN3c8Zi5lPK1n2O5dJabofz0JVTRYSgjgkGpwOvBrpRuP+BURt04lpBFz5M2YRGWgiIH4RSEf/QSReu2U7J5rxNNj9gQ3KICEZRyIoZ2JGuL89alrC1HiXqkCwBhA9uTt1d6x8Shi9jSdhpb2k4j6bM/ufTBepK/2EJFbhH69Hw86koz85pgXwSFHLdIiUfkkA5kbnbmkbn5GHUe6QpA+MB25NiCrJttKw2AW0QAnvXCKLuey5k3/sPG1s/ze5MJ7Hl0KWk7TnLwlW+pZ9uKEdiqLsZivX37ht0MOTpMJQYCW9UFoN6IzqTa3iW8ezxxEweybcy7WMqrn+G6gZITV9DGhqKOCkJQKggc2omCLYdvWt4RqlA/ZBoVAHJvd7zaNcJwJcNO1z02BK3NFmFDO5JdRU/Zm48SYdNTyKD25Nn0lLvzFJ6NI5FpVQhyGf4JjSm9lO7M3CreV/rX1+wksdc8Mn87gD4lh/CHuxDQpRmGnKJb6j7ApvuYEZ25buOftuUYsbY6FvtIF/v1m8GYq6M8Ix9TsR5tbCiBAztQdiWdoKGdyNtcfSv1nSDjy80c6TWLI71mcXXzURoPl+pScMu6GEv06KvIo8/RYSw1ENxSkqfx8M5ctfnO1c1HiEhoAoBPTAgypYLyghJK0vOJ6CTNMAsaDcqmjSnfdwBFRDjyUCk2aXv3pDzROTbJIyoTTqgTOmC+XsW2NUB3Ium++7bcTY3CXQNAyaU01KF+GPOLEZRyQoYmkFPFbjmbjxJmq0/Bg9qTn+gQ3wSBkMEdnM4bAuRuOYZfJ0l3/l2aYUySEtVUnLmIMiocRXgwKBR4PNCdsp3O8U/VqC6Br0wla8orTvFP5uUBSukct8zHC03LphiTpHNXBSeu4hkTgntkIDKlnKghHUiroqf0LceIeViSI3JgO7ITbx6nARRuajS2s02CXIZnjzZUJDlPKBpOXUJti+eCUoH3wK6UbHM+cqBpEkv44imkjnsdS74kT8E3f5A0cCpJA6dSvHU/PsOklZKAVnUx3YHf1a3id3Ufluxf9+FKvytLzyPUthKiCfDCOza0chAo2LoncpXtDGL1M7v3CvOlC8jDIpAFSz6h7tYT4wHnnRyysEqfULXriCVd0q/p6CEU0bHSmV6ZHGVcc8yp16rxKDqe5BQPQ4cmVIuHOVXiYdX6Gzq4AxkO9fdeaEoxNsoeY/0cYrjKtvVQ4e1OYI/mCHL5fW0n5G5q1A71tUHPlpzZeNCeQObCliO0eEiqJxEt61FeYrirs4WO5xMb9WlNblLlBHjZyctoYkJRRUrtqd+Qzui2HrojumUnriD3ckfhJ+nHKyGOgt8TOddvOuf6TSd181Hq3kGfwOjQJ6jr0Ce4AX1WIbunfMRvfReQuvkoPg3C8W0USVCHRphK9ATERaO7nO5E82597vrmowS1a4gglyHXqAhoWZeiyxmkLfuWk22e42Tb5zDrSig7epHkGSvxG9KZwjvsd8i93RFU0pqTwtcTj7aNMFy6fkfPuvDPgvB3tw38vwxBEOKBfwNypAH0D6IoLrrVM9fb9rIrUpPQDp8XJyPIZZT+tomSL7/Da/wYjOcvUr57P4EfvomybiyWfGk2xpKVQ96Ml0ClJOSbTwGwlpVRuOw9TJekVTHPBpV2UjRvj3b0JJDJMf61iYr1a9AMH4M5+RLmY84dII8F72L47hMsyZdQD30CzaCRWLMrg0vpstmIxTqyDmucnnPv1obg+eNBLqPopy3kf/IfAqY+QfmZy5TuOEjkV0tQN4jGnCvNEpkyckmfuAivwT0IXTqdiispdlqZc5dTcf4qhW27E7dotJTu/vtdXHp/PY1mj0B34ipZW44hUytpvXIS3s3qYNKVcXj8CvSpOU7v1WjmcMxl5fZ0995N69Di3eeQKRXoU3K49utems15BEEu49rav7jw/nqazBpO4clkMm082q2YiE+zOhh1ZRycsIKy1FyiRnSm4ZRBiCYLomjl/Lu/kvGnc+AO7NiY2EkPsu2pd+iw5CnCu8djMRjZ8+Iqe+rpwVuW8FvfBQD4x8fQZfk4KcX0zpMcWPg1AMMT30GuVlBeKM1y5h67wv65XwIw4sByNB4aZCoF5iI919/7ifDxg0AuI+f7HaS9/wtRsx+l9EQSBVuO4NGiLo2+mI3Cxx1ruQlTro7j3abj3TWemFefkvaSCAKZX2wi+9ttdlmUPdvSxPbpgbTvd3HlvXU0mD0C3clkcjYfRaZW0mLlJLziojHpSjk2fgWGFMkW4cM7U3fqEEAkZ9sJLrwurXQ3emkUYQ8loAnxxVhYiiAImIr1942+NiKA5isn4dkwArlWTWl6HnunfEyBTfcDti5hYx9J937xMSS8J+k+Y+dJDi+QdK/y9aDLJ8/jHu5PWXqe9CkLXRmaQG8e2PQ6Sk8tWK2Yyio41uUFLKUGPJpG0/DdCSj8PFD5e2PMLyZzzXZS3/uF6NmPUnIyifzNR/BsUZdmX86y28KYo+NwtxcBaLF+EW71wpG7azAXlnBh+scU7jrJaZWaboufok73eEwGI9tnrCLHJs9jfy5hbX9JnqD4GHq/O076lMXOk/z1kiSPTCmn19vjCGwahcVoYe/i70jbdw6lm5pe74zDr344Xioz+j/+pOy7/6Du2B7vaZNBLkO/YROl/16D57NjMV64SEXiPrxemIK6TWswm7GWlFD07geYk69J7/Dz98jc3UChRCwtJf+FWZivpXDoaijBvVrcV992iwqi/ZfSCo2gkFNyMgmf1g1s9XUnV99bR73ZD1N08iq5tvoUv3Iynrb6dHL8B/b65JfQhAYLR3JgwEtO/DQRAcSvnIzS2w1jfgmlry2znzV069IW/zkTEOQyin/dgm7V9/hOfpKKs5fQ7zpA6GfLUDWIxmKLfzc+WaFu0YTAl6fa/a7o218p+WUzAIcKAgjt2ZxWr0l6urr2L859sJ64WcMpOJlMuk1PHT+YiK8tPu2dKMUngEEH30PpoUWmUmAq0rNz5DKMhSV0/XomcpUSZAKWgyfIXPwZWKp8yqJ7G0Jfeg5BJqPwx63kfvQDQS88juH0ZUq2HyL6m8VoGtbBlCOtOpgyckkd97oTjdDXJuDZtTVlejP7HGLewC1L2OAQ8xKWS/U0fedJDtlintrXg643/C4tj78mSH6nDfah0/LxUvIOAc58uIEOr/QDBBQ+0qBMFK1YSvPAUn0ibdYryzh8/BQ6XTH+fj5MemY0wwf1q1auKopGV2bBVLZtj8e450Euo3zLRgxrv8Vt9NOYL13AeHAf7uOfR9nS5hOlpZR99B4W2yBQ3aMP2kcfB1HEePgg+i+kz2kcOua8lTiwVwuavP6U9CmW73eS9N466tvq74142HzlZHs8PF6l/jZcOJL9VervvdAMs8dYyNl2nIu2GNvik+fxbCJla73y7s+YSsrvazuhCvSm7TezkKmVCDKBswfO8efr32J1qK8PLhpD/W5SPPx11qdknJbq2cSNb/DxgPkA9J07krghCXgG+1CSrePYf3ay871f6D37URr1boXVYsGgK+P3hV+QcPGKnbZ3z9ZEvvo0yOTk/2cbmSt+ImzmSMpOXqFo62Hcmtej3udzkXt7IFYYMeXoONtrKgBeXZoT8fJYEAT0p5JImfORfcfUGdGD9g59gsRb9Ak6O/QJDtr8I6p/G9ovfhKNnyfGYj0FZ1PY+vibtF/yFNEPtkPl5UZZZj6pG49wbMnae/I5gKYTHqTuo10RrVaufL+L859vpjGVn4oJmTSMsBcewZSrI+8/28n8QNKT/uQVdFsP4968HvVWz7HpyYQpp5AzPafh0aYhdZZNBNEKgozsz38nb+12O9226b9WTzn8D8erdR6v1UHSqylr/pE6cQ0O7xMcB4e1AcfBYW2g6uCwNnCh2KfWeZhrSHd+P1Eiq30/bmApv32he4ROrJ6l9n8NhXJ5rdKPsFQ/B3e/cVqlvn2he8TwyNuv/t0LDl2t/TN1GrH2j+7XD7zz7Wt/B4cKbp/R9F4Rpym6faF7xLEKn1qlP/LkLedh7wscB4e1gaqDw/9ViNRue3dQW/ub1wabq38f837jjHj7pFH3gv/GFj/HwWFtwTU4rIH+P3Rw6Dpz6IILLrjgggsuuOCCCy644ADrP3LoVvtwnTl0wQUXXHDBBRdccMEFF1xwwbVy6IILLrjgggsuuOCCCy644Ajr/9F8pa6VQxdccMEFF1xwwQUXXHDBBRdcK4f3CwGLhtQqfcuuXbVKP3977c8TFMprn4eHtXZneSr+C9MpSdR+ciBfi6VW6RfLajdZDEBaLefUSfCv/eQe6flBty90j7BaavfQhKmWk0BJPGq/Pmm9bv5ZmfsBr9zaT6ojl9c+j9pGbSeLAfD+5stapa9uOq9W6QP4qWs/cdkhq2et0lf/FxIialTm2xe6Ryhq2RTm/8K5t0uie63zaFvrHO4//m+uG7pWDl1wwQUXXHDBBRdccMEFF1zAtXLoggsuuOCCCy644IILLrjghP/9vRh/D66VQxdccMEFF1xwwQUXXHDBBRdcK4e3giAIcuAIkC6K4sA7fW7v+RTe/CURq2hlWIcmPN27tdP9t35N5PDlNADKTWYKSgwkLnsOgMzCEl5bu5PswlIEAVaMG0i4v5fT8/IGLVEPfhoEGabD2zDt+tXpvqJ1D9QDnsRaXACAad8mzIe3IQuNRj1sPGi0YLVi2vEz5lN7a5TBp0cLYl8fC3IZ2Wu2k75yndN9rw6NiVk0Fvcmdbg4YTn5Gw4AoI4IoNEXs0EmIFMqyFy9iayvt9ifa79oNBE9W2A2VJA4fRX5Z65V4+0fF02X5eORa1Sk7TjBwZe/AaDNwpFE9mmJ1WimJCWHxBdXYSzWE9alGa3nP4pcqUChViJXK7EaTVz9bhcXV/7uRFumUtDug4n4xkdTUVjKgfEr0KflEdS1GfELHkOmVGA1mTm56Dty954DoMt3s9EE+SAo5KQdukjiwq9IeOUJomxy7HxxFXk1yBEQF02Pd8ej0KhI3XGCva9843Q/ftwDJLz0OF/FT6C8sJQuy8bSYGgnBLmMkmvZ7Jn0IbqLaU7P+MVF08mmm/QdJzhs043Kx52uH0/BIzKQ0uu57J6wAmORHpW3GwnvjMOzThCWChP7ZnyG7mIagT2a0+z1JxHkMuRaNUWnkzk0+i0nPbVYMQmf+BiMhaUcHf8+hut5aCMD6LH7HUqTMgAoPHqF03NWAxDUpyWtVk5G7qbGWKTn0Nwvub7xsBPNhA8m4BcXQ0VhCYkTVlKWlgdA0ymDqDuyO6LVypGFX5P512kAlF5udHj7WbwbRYAocuDFz8g7eoWWL42kf5+WWExmdCk5/DFrFV1eHE7dHi0wGSr4Y+YqsmuwSddZD9Psoc5ovN15t8mz9uuR7RrS65XRBDWKZP3zK7no8N43oO3UBv85ExHkMop/+ZOi1f9xuu/95HA8H+qPaLFgLSgi9+V3MGfmACAPCSTwtRdRhAQiaNRgsYJopejbRM7VUEfvRk9uYX50fH8C2kBvRFHkyrc7ubh6MwCdP5lCUCPp4+syDw9EqxUsFgSZjLLfNlLy9fdOvD1GjsB9yABEswWrrojCxW9hycqW5Jv8HJpOHQAo/uIbDNt22Z8L7hFPy0WjEeSy++Z3glJOqzfGENixMTKtCplMwGIw1opf5x28CKveAKs0T6xu3xbvF6aAXI7+9z8o/cZZT25DB+E+fChYrFgNBor+9Q7maykIXl74LXkVZeNGGDb+SdG7H9ifCezRnCaLJZ+7vmYnSSt+qyZD85WT8Lb53PFxks8BeDaJIu6tZ1B4uCGKVvb2W4i1wkSHX15CHeyDpVw6L5n9zDwsBdJZWfcurQleOB5BLkP3w2byV/3oxM9v7DB8HumHaLZgKSgiY957mDNyUDeOJeS1ycg93BAtVvI+/g8lG3cT/NJ4PLq1JaTMzN7pqyiowb/uNj4pPbV0XjER93B/ZHI5Zz/ZCBfWAOD1+psoGjXBknYdwcMDQSaj/M8/MPz4nRNPzYDBaAYOA6sFsdxA6QdvY0lNAUAeHYvH1JkIbm5gFdFNGw+muztbuvCNd9m99xB+vj6s+/aTO37Or0dzGiwegyCXkbFmBykr1jvdF1QKmq6cjGd8LKbCEs6Me5/y67kISjmN3hqHV4tYRKvIpYVfodsn1dngYQlETxuGKIqIOflcm/YulsISPLu1JOLV5xDkMvLXbiX7o5+deLm3a0LEK8+ibRzNtSlvo9u4z34vbP5TePVsgyAIFCeeJP2Vz5yeTVg02t7W7Zp+87au+/LKtm7fjTZ75gii+7VCtIoY8orZ9eKn6LN1qDy19PxgIppwf2QKOQdW/cGpH3cD0PfVJ6nbozkmg5ENMz8lqwZ+3Wc9TNxDXdB4u/NWk2fs19s9+wAtHuuB1WxBX1DMhlmfQVbNZ8c9urYi9OVxIJNR+MMW8j75yem+/zND8X2kL1gsmAuKSZ/9HqaM3BppAbR5fTThNj3tn76KgtPV39svLpqO70l6St9xgiMvVfpHl0+m4B4RSFlaLnvGS/4RPSyBppMHgiCg9vPAarZiLCoj8Sb+5x8XTWeHvtMhmx3qDGxHixcfwqd+GBsefIX8U8kANH6mL20WjASgQlfK4Xn/Ju3PI3Z6f6fNBhBkAv3/fB1DZiG7nnqn6mt+ADwNeNxUmf8guLKVulATpgHn7+YBi9XK0p928+H4gfwydxR/HrtMUlaBU5lZwzrzw+zH+GH2Y4zsEk+v+Fj7vYXfbuOpni35df4ovn1xBH6eWmcGggz10OcwfLEY/bvTUDTvghAUUe09TKf2Ynh/Bob3Z2A+vA0A0VRB+X8+wPDuC5Svfh3VoKdB41ZdCJmM2KXPcnbUEo53nU7gsM5oGzjzqEjP4/K0D8n9NdHpujFbx6mB8znZexYnH5hH+PNDUQX7AhDRszleMSH83HkG++aspuPSMTXqsOPSseyd/Tk/d56BV0wI4T3iAcjYfZp1Peeyvs98iq9mEj9lEADlBSVsG/MO6/vOR65WIlPK+bPbbKKGdsSzQbgT7ZiR3TEWlbEpYQaXV20ifqEUGI0FJSQ++TZbes7l0NRPaL9iov2Z/eNWsLX3fLZ0n4PW35N2cx7BOyaE77vM4K85q+nyRs1ydH1jLH/N/pzvu8zAOyaEyO7x9nvuoX5Edo2jxBZoo3o0J7JLHCc++YMtDy9BtIq0XTS6Gs0OS8eyf/bnrLPpJsymm2aTB5GVeI51nWeSlXiOZpMl3cQ9P4SCsyn83mc+idM+oe2i0QgygbilYzk46l+kfLMdmUaF3N05CU7kqB6YdGXs6Didq59upPHCUfZ7ZSnZ7O49j92959kHhsgEWq6YRNrPiWyMHYMhR4chR+dEs+7I7hh1ZfzWaQYXPvuTlgsfA8Crfhh1hnRgQ4857Bj1Jm2XjkGQSSfw2ywaTcauU2zoOpuNvedTdFkalGbuPs3nfefyRf/5FCRn8sCyZ/CNCeHTbjP4c95q+i2u2SZXth3j30NeqXa9OCOfP2Z8yrn1+2p4CpDJCFgwhaxJC7g+5Dk8HuiOMjbKqUjF+SukPzaF9OETKN26B78XKwefQW/MpuirH0kbNg6sVrKef4nrQ54jekgHvOqH3ZOerGYrxxZ9x4buc9g88FUajOltp5k4YSU5o8eRM3ochl17kHl5kPfCXLIeG4u2b08UMXWceJsuXSHnqYnkPPEchh278Z4yDgBNp/YoG9Yne/Rz5Dw9Gc/HH0Fwt8UOmUCrN8aw5/E376vfNZ42lPK8Yv7sOgvRaCbxqXdqza/V/p5oenaz29p75jTyZ8wlZ9QYtL17oYh21pNhy3ZyRz9D7pjnKF2zFq+pk6QbRiMln31B8cqPq9WfpsvGcmjUv/iry0zChiXgUUWGGz63q8N0kj/dSKOXJJ8T5DJafDiZ07NWs7vbLA4Mex2rqTLJxolJH5LYax6JvSoHhshkhLw6ievPvkzSAxPwGtgNVb1IJ37l55JIHjaN5EGTKd6cSPDspwEQDRVkzHqHqwMmcv2ZlwhZMA7P/p1R1Qknqfez7J+zmvY3id13G58ajulD0aV0NvRZwOYRS2jz8ihQSHPWhp/XUvrOUhTRsRS/NJvC8U+h7t4LeZSzLSp2bUM3aSy6Kc9i+PF73J+bbNOBHM/ZCyld8Q66CWMomjMNLHefnGTogD588u7iu3tIJtBw2dOcGLWUA11eJHhYJ9yr2DtsVE9MujL2d5jG9U83Us9m7/AnegFwsPssjj+ymPqvjgZBQJDLaLB4DMceWsShHrMxXLhG4JgHQSYjcvF4kp56jfO9puA7uAua+s62NmXkkTLjfQrX73a67t66Ee5tGnOh7zTO95mKe3w9PDo0s9+P7Nkc75gQ1naewe45q+l8E7t3WTqW3bM/Z21nW1tns/vJT/7gpz7z+bnfAlK3H6f1C8MAaPpUHwovp/P5A/P59tHF9F74ODKlnLo9muMXE8LH3Wawcd5q+i+uOTnRpW3H+XLIy9WuZ59N4YuBC/m8/zwubDxEr3kjb2IfGWGvTeTa2Fe40m8S3oO6oa7qH2eTSBoynSsDnqd4UyIhc2+eKCmsZ3M8Y0JY32kGB2evpt1N9NRu2VgOzvqc9Z1m4OngH02nSP7xm80/mtr6NqXXc9k6fDFH3liLPqsQQ3Yh+2/Rd+qwdCz7Zn/OL1X6TroLaex87n2yD1y0lxVkAk2e6c+6XnNZ0/BZjLoyOrzzDIJD4sC/02YDNHy2P8W2troK2gC+N1WkC/8YuAaHN4EgCBHAg8Dnd/PcmZQcIgO8iQjwRqmQ069lfXadTr5p+U3HLtO/dQMAkrIKsFhFOjaUgpSbWoVW5ZySURZZD2t+JmJBNljMmE8momjS7o7eTczLRMzPlP4uKUQsLUJw965WzrNlPcqTs6hIzUE0mcldtxe/fs55piqu56I/nyKtRDjyMJkRjVIDLFMrEBwyGUb1a82Vn6TBZO6xJFTe7miDfJye1wb5oPTUknssCYArPyVSp38bADJ2n0G0SPxyjiXhFuoHQMHZFAzZOgJa1qX4cjoypcT3+voDhPdzXrUN69+aaz9IDWTahkMEdWkKgO5MCuXZOgCKL6Yh16iQqaROirnUAICgkCNTKgiMi+HSz5IcOceTUHu541ZFDrcgH5QeWnKOS3Jc+jmRmH5t7PcTXnmCA0vWgi1bW3Tf1lQU60nfd468Y0nI1Uo86wShCahcNb6hmzybbpJ+SiTKppvIfq1J+nGPdP3HPUTarns3CCfLtlJSnJSJR0QAYd3jKUvOwmoyE9ijOZkbDqIOdK4HIf1ak2bTU+aGgwR2bsat4NuyHnKNivOLv0c0WUhZt5/gDo2cykT0a8VV2zumbjhEcOem9ndPWX8Aq9FM2fVcSq5l49+yLkpPLUEdGpL03S4ArCYLpmI9AFl/VdaFjONJBDWpwxmbTTJsNnGvYpMb98qqDFoBitLyyL1wHfEm2W7VcQ0xpWZgTssCs5myTX/h3iPBqUz54ZOI5RUAVJw6jyI4EABlbBSCXI5h/zGJTko6pqRUMJtJWX+AyCp19G71VJ6jo9A2S20uK6foSobdNxyh7d8L89VrWDIywWzGsHUH2q7OMlQcPYFYIclgPHMOeZAkgyImmooTp8BiRSwvx3TlKpoOUkzwa1mX0mvZlKXmIpos983vYh7rxoUPfrPT1526dl/pV/XrGxPEyiaNMKdlVOpp2w40XTo58RP1evvfMq3G7sdieTnGU2cQjc6rU8omjdAnZ2FIyUE0WchYt5/g/m2cygT3r/S5rN8PEmDzuYDu8ZScS6XkXCoApsJSuE1WZm18A4wpGZiuZ4HJTPEfu/Hs1dGpjP7gKXt9NZy4gCJEWmE2XkvHlCJ17Mw5BZjzdXj260TRuu0A5N0mdt9NfEIUUXpIE6BKdw0VujKwZVI2nTiGzD8QsdyANUuyRcVfO1B16OzE19EWaLSVdmzdBnNyEpZk6X3EkmL7yvDdoE2LOLy97i5rp1erehiSsym32Tt73T4C+ju3oYH925D5w18A5Px+AF+bvd0bRFCYeAYAU14x5uIyvFrEgiAAAnI3NQByDzdM2QW4tahPxbUsjKnZiCYzhb/vwbuvc5/AmJZD+YUa2mtRRKZWIigVCCoFglKBKU9nvx/dtzWXbG12zrHbtHU2u1/6KZFoW1tnsvkYgEKrRrzhJ6KI0r3S7gZdKVazlQZ9WnPqZ6meZBy/gsbLDY8a4/gVSmuI4yn7z2G2raKnH7+CZw1xEEDbvAEVKZmYrks6K9qwG88+HZzKlB04bfcP/fGLdv+oCZH9WpNs09Od+kfyT4l2P4js15qrP0hyX/2h0j/yjlzGWKQnql9rLn6zHbdQv1v2nVQOfSdH/yu6kkFxUqZT+YCWdSlOzqIkORuryUL69hPIlM79zbttiwC0oX6E92rBFVu7fQO2weNbwOybKvIfCLGW//1T4Roc3hzvIVXiu2pNcopKCfGtXC0P9vEgp6isxrIZBcVkFBTTrr40o5iSo8NTq+LFLzbx6Fv/4d31e7FUCeaCtz+iLt/+WyzKR/CuHgAVzTqifeFdNE/MQvD2r3ZfFlEPQaFALMiqdk8V6ocxI8/+25iZj/omQbYmqML8abHjHdoc/ZS0D9djzC4EwC3El7KMyncvyyzALcR5EsktxBd9ZuVKq76GMgD1H+tK2s5T1Z4V5DIKT1/DajSjzyxAW+VZbYgvhgyJvmixYirWo/Jz3t0Q/mA7O40b6PL9HAaf/hhTWTkWo4lSBzlKMwtwr8LHPcSXMgc5HMtE922FPquQ/POpTuULLqYR+4CtUS0x4Bbq59TJv5VutAFe9pU6Q44OrW1QWXgulagBEk3/FrG4RwTg0zACQ0Y+TV9/kvOvf4cxvwi52rlR0IT6YbDJKFqsmEr0qPykDpJbVCBdty4l4deX8WvfUHr/2BBEi5WGsx+m65Y3iHigDZ4xwdXsU1ZF92o/D7ShlddvyKUN8cUjKpDy/BI6LB/HA1sW0/7tZ5Fr1VRF/CNdMenLKXGwSUlWAZ7B92+CUhEUgDmrckuROTsXeXB1v7oBz4f6o0+UtqYqoyOwlJQSvPxlgpbNRR7oBzIp9OozC9CGVveBu9GTI9wjAvBrVsfeAbkBVYt4RL0Bc8p1+zVLTh7ywMCbyuA+eADl+w8BYLqchKZDOwS1Gpm3F+rWLZAHS5/h0Ib4oU+v1P398Dull7Qq2WzOCNp/OAmPmBDUtjpdG35tLi2nfKfUUZcHBmDJzqnUU24u8sDqHUO3h4YS9OO3eE0aT9HyFTfV4w2aBof6WZ6Rj6aKDJpQP8rTnX1O6eeJe91QRFGk3dq5dN76BrG2VbcbiH9/PJ23L6Xe9GH2a4oQf8yZlTHclJWH4hb11WdEP0p3H6l2XRPfAEGlQOauxZRZWf9rist/Jz5d+HIr3vXDGHFsJYO2L+XwK9/YB9oAgre300DbmpeLzL+6LTQDh+L7xXe4PzOB0k/eB0AeHgkieC1+C58Vn6EdcZNVpFqAJsSPcgd7V2Tko66iL3WoHxUO9jbb7F1yLoWAfm0Q5DI0UYF4xseiDvNHNFu4OOdz2u96i86nPkFTP5L8tdtQhfhXa6+Vt7C1I/THLlKy7zTNjnxJ3JGvKP7rOBVXKo8yuN9hm+3Y1pVVaQ/bzn6Yxw+9T/1hCRx5W9ruevarrfjUD2Pa4ZWM27yMra9JdvcM8aPYgV/xPcTxFo92J2nXyRrvKUP8neqzOTPvljrzfaQvpX8dvel9bVU9ZdQcoxz9w7GMpop/OE4Kg6Rjv6bRpNv6PHdqh5r6Tk7lMwoIaFmXITuW0fCZvuQcvGCfdHUsA3feFrV57QmOL/6+2kRrg7F9AX4DnEepLvwj4Roc1gBBEAYCOaIo3jwa3AdsPnaF3s3rIrd1FC1WK8evZvLi4ATWvPgw6fnF/Hbowl3TNZ8/jH7ZeAzvvYj58knUj0x1ui94+qJ5bBrlP650aojvF4wZ+ZzoOYNjHacQ9Eg3lAHVVyfvBfFTByOarVz9xfm8pHuoP34t6nJ09uq/TdurQTjxCx+rRmPPyH/xe4vJyFUKNL5//9tPCo2KllMGc/idn6rdu/zLXlRe7gzcsgS3MD+KkzKrzfTeKW6Y9czK3+00Gz3dl4IzKYiiiDY8AGNeMUWnbr6qXRMqsnVsa/08u/vM4+wr39Dqo+dReGgR5DIU7hoKj1xid9/5lCRnE9i2wd969xsQ5HL84qK5/PV2NvVdiFlfYd9ucwMdpwzGarZSklV4T7zuJzwG9kLdpAG6L6UzXoJcjrZVHPnvrKLgvdXI3N3wHNL3vvNVuKnp8vk0jr78rX1V7Abc+vbEePLMHdNy698bZeMGlHwrnausOHiE8n0HCfx8BX6vL8R4+tzfWoW5Gar6naCQ4RbuT97hy5x6fS0V+cU0f+Xx+0b/Bm74tUytQN265V3R1P+yjpyHn6D4o1V4jqm+Bfx+QSaX4de+Iccnfci+wa8SMqAN/raV0eOTVrKn+xz2D34Nvw6N8B7a867pew3ugTauPgWfO8ckRaAvYW/NJGPu8vsihyNuxKew7nEUnE3hp1ZT2NB3Ae0WPymdD7xLlG9YR+HTo9B/8SluI58EJL9TNo2j5M3F6GZOQZXQBWWLVvdTjFpB5nc7qcjMp+2WpTR4/SmKDl9CtFoRFHLCx/ThUK+5JMZPwHD+GsGTh98TL1WdEDT1Ijnb/hnOtHsaz4Q43Ns1uU+SSDj85o+saTeNy7/uo9nYPgBEdI8j/2wK77edwucPzKffoqdQeWhvQ+nO0WxYJ0LjYjnw6YZ7puU9pDvauHrkffbz7QvfJ1Ttlql9PYjo3YKjb6y977zyjiexvudcTr/1C37xMcjUf/8DwuG9W1CeV1ztvKU22IeoQe0Abj2L9g+EtZb/3QsEQfATBGGrIAiXbf+vNhsgCEILQRD2C4JwVhCEU4IgPHontF2Dw5rRCRgsCMI1YC3QUxCEb6sWEgRhnCAIRwRBOLJ6k3RWKcjbg6zCUnuZbF0pQd41f1z0z+OX6d+qvv13sI8HDcMDiAjwRiGX0SMulvNpzgegxaJ8BJ/KGS7B2x+xyPlMI/pS+9kK86FtyCMqzzSi1qIZu4CKzd9hTb1U43sZMwtQhVXOzqpC/anILKix7K1gzC5EtFiJ37iU5tveQp+twz2s8t3dQ/3QV+nU67MKnVfLqpSp90gXInu35K8pHzk95xbqR9Nx/Sm+nE5ZSo79mqEKfUNWIdowib4gl6H0csNYINlLG+pHwhfTOTT1EzuNG6g7pg+9NrxGYPNYlB4aPBzk8Aj1o6wKn7KsQtwd5LhRxis6CK/IQB7e/AZjTn2MR0QAo4+spKJYj8bXg10zVrGh7wJMJQaUHlpKUxxm62+hG0NesX2biTbIh/L8YkDa1rPvRYnm3qmfoPH3pOBMCu4xIQT3bUWvwx8Q/Ux/NCF+tFw52U67PLMArU1GQS5D6emGsaAEq9EsbWsDik4lU5aSjXvdUEovZ2C1WMj8Q1ot02fko6xS7/VZhbhX0X1FQSmGzMrrjnbTZxagzywg37Y1N3XDIfziou3lBi6fQMfJQ/CpE0Rpjg5PB5t4hvhRkn3/BozmnDwUIZWrbIrgQCzZ+dXKaTu0xOe5kWRNfQVMJunZ7FwqLiZhTsvCnJWLtcyAqkm9Slkzq/vA3egJpK2RXT6fxrVf9nF9U5UVILkMbY/OGHbutq/2AciDArDkVk+woG7bCs8xj5M/c6FdBoCSr9aQM3oceVNngyBgTpVWGAxZBbiFV+r+fvidsaAUs76c9I2HMWQVYKkw4WOz/f30awBrhYmMzUftW0ctuXnOegoMxJKbV+05O+9tO9B07XTT+zdoah3qpybMn/IqMpRnFqAJd/Y5U0EJhswCCvZfwFRQgtVgJGfbCbzjYgCosNGwlJWT8cteNPHSSr45Kx9FaGUMV4YEYK6hvroltCBg0qNcH/+a/TgAgMxDS/TP7yGolIQumoI5pwBlaGX9rxqX4e/Fp3qPdiN1o1RfS65lU3o9F3lE5VlesagIQaWqfK+AQKz5N7dFxV/bUXWUtp1a8nIxnTmJWFwEFRUYDx9AUffeJqzuFOVZBWgc7K0O87fbyv6umQWoHeytsNlbtFi5/PLXHOo1h1NPvY3C2w1DUiYezaIBMKRICaIKNyTi3roRxqz8au21qQZb1wSf/h0pO34Rq74cq76c4l3HCHpuCA03LafhpuXoc+6szXZs69xraA8Brvy6j5gHpK21DR/pRrItTsV2i8fNz5Onf3+d0hwdXg78vP5GHI/u1JROU4bww7PvYDHWfMbUlJXvVJ8VoQE16sy9U3MCJz9KyrjXnfwDwG/0g9Td8AF1N3yAoaqewmqOUY7+4VimvIp/VOQX02BMbwZsXcKg3W/i0yCc86s3U2Fre+/UDlXLVCvv0J4IMgFzWTk+DSNqLHMnbVFg2wZE9G3FkIPL6fzxZII7NyFhxUR8m0XjGR0McAW4BrjZ/v7Hw4pYq//uEXOB7aIo1ge2235XhR54UhTFpkB/4D1BEHxuR9g1OKwBoijOE0UxQhTFaOAxYIcoik/UUG6VKIptRFFs88wD0tmdplFBpOYVkZ5fjMlsYfPxy3SzBXVHJGcXUqyvoHl0iP1a06ggSgwVFNhm/Q9dTiM22Hk7pzXtCjL/UATfIJArUDTvjOW8c2ZFwbNy8kDepC3WnHTbDwWaJ+dgPrYLy+n9N5W/5MQVtLGhqKOCEJQKAod2omBL9eyNNUEV6odMIzXmcm93lL6enH9yGSd7zyJ181HqjZAa7sBWdTEW66slLTHk6DCVGAhsJe1frzeiM6mbpQXc8O7xxE0cyLYx79qz8wGovNzo8/UMDr+2BrW/F26RgQhKOZFDOpCx2XnxN2PzMaIf6QpAxMB25CSeBaSsmJ2/mcnpN9aSf7hy0Cx3U6MJ8iHpq61s67+Q7GNXyDhwgQbDJTmCWtbFWKJHX0UOfY4OU6mBINs+/AbDO3Nty1EKLqTx75aTWZMwna/iJ1Kalsc3baZwZf1+Gj3aDZlSTkCrusiVcrL2n3M6s3FDNwE23dQd0ZnrNvnSthyj7sNdpOsPd7FfV3q5IVPKAag/qjvZBy+Qvf88ILJ36GvsSJiOMa+IgiOXOD7lQzuv7C1HibDpKXRge/L2SnpS+XuC7eC5W1QQ7jEh6FOy0Z1IwlpuImxoAoJSTvSwBArPpDjpJH3LMWJt7xg1sB3Ziefs715nSAdkKgXukYF4xoSQfzyJ8twi9BkFeNYNBSCkS1OKLkt1ObR7PCFxMXzc6QW+6D+fy1uO0sxmk7CWdako0dd4tvDvouLMRZR1wlGEh4BCgfsD3Sjb5exDqkZ1CXh5GlnPv4y1QOfw7CVknu7IfL0lOuHBWPIKQaGgzpAOpG05dk96AujwzrMUX87gwqpN1d5d3bY15mvXKd93EEVkOPJQSQZtn54YdjvLoGxQD9+5L5I/ayHWwkoZkMmQeUlbnZT1YlHWi6X8oBQTCk9cxSMm5L76HUDGluMEJjSm8MRVvOqHU3Y97777NUidntBeLTGl2M70nb+AIsJBT717Up7onKhIHlGZXESd0AHz9fRqeneE6fwF3GND0EZJOgob2pHsKjJkb670uZBB7cmzyZC78xSejSORaVUIchn+CY0pvZQuddZsW70FhZygPq2ouCz5nOH0JVTRYSgjgkGpwOvBrpRsP+DET90kltDXn+f6+EWViWwAlAoiPnyJ/C9+IanHWJIHP0/ptv14D5USpQS0qovpFrH7buJTWXoeobZzTJoAL7xjQ7FkVe46s6SlImi0yIIlW6i79cR4wHnHiCys0haqdh2xpEuTFqajh1BEx4JaDTI5yrjmmFOv3dJO9wslx5Nwiw1BY7N38NAE8jY7T9rkbT5C6CNSEqSgQR0otNlbplUhs50r9Osah2i2UnYpnYrMAtwbRKD0l2zu1aUFFVfS0J+8jDomFFWk1F77DupC0dZDd/SexoxcPDs0A7kMFHI8OjQl/z/buPjAdC4+MJ1rfx6lga3NDmp1m7bOZvcGI6S2DsDL4WhBnX6t0NnOvZWm5xFus/uFjQepKDHw74de5dKWI8QPl+pJWMt6VJQYajxbeDMEN63DgKXP8MMz76C3TUDUBMOpS6ht/iEoFXgP7ErJtoNOZTRNYglfPIXUca9jya+e8bTgmz9IGjiVpIFTSfvzKDE2PQXcpm9zwz9iqvhH7COS3LGPSP5x6att7BrzLjK5nJPL1xHWNQ64dd/J6NB3quvQd6oJeSeu4l0/HM/oIGRKOTEjOqPw0FDmsCBxt23RiaU/8GubqaxvP53EiR+SnXiOfc9/TMb2E/zSYgpAtO2fHqh305dz4U4xBPi37e9/A0OrFhBF8ZIoipdtf2cAOcDNz5PYIIi1sK3w/yUIgtAdmHm7T1kYNn1gV+Sec9d469dErFaRIe0b81zfNny08SBNooLo3kya8f140yGMZgvTBjknCdh/8TrvrtuLiEjjiCBefrQ7SoUcy65d9jLyhq1QD3oaZDJMh7dj2vkzqj6PYUlLwnL+MKr+jyNv0lZKHmEooeLXVYi56ShadkX98BSs2ZXnjip+WIE18xon/+08T+DbqyUxi6RPWeR8v4O0938havajlJ5IomDLETxa1KXRF7NR+LhjLTdhytVxvNt0vLvGE/PqU9K+CEEg84tNZH8rZUu9JNfQYclThHePx2IwsufFVfaUyoO3LOG3vgsA8I+PocvycVI69J0nObDwawCGJ76DXK2g3DZ7lnvsCvvnfknzaUOImzKI4uRs1O4atKF+lOfouLpmJxfeX0/TWcMpOJlM5pZjyNRK2q2YiG+zOhh1ZRyYsIKy1FwavzCURs8PovRqtl0Hux9bBgJ0/mYmMpUSQSaQuv88+177lk6vjSayezxmg5FdM1aRa5NjxJ9L+Km/JEdgfAw93pXkuL7zJIkvfV2t3jy+bzk/P/gS5YWl9P10KnX6tAKrSM6RS/z13PsYi/QM3LKEDQ66SVg+TkqFvfMkh2y6Uft60PWT53EP96csLY+/JqzAqCsjoHU9Or83HlEE3cU09s/8DGORnobd42i6SEqrn7f3LJogH4pOJ6M7kUz2lqPI1EparpyEd7NojLpSjo1fgT41h9AH29Fw9sNStkSryMW3fiJ7qzS4iXi0K/HLnkaQyyjLKGDbw29Qb1R38k8mk27TfcIHE/BrFk2FrpS9E1dSmio1RE2nDqbuY90QLVaOvvwNGbazFb5No2j/9rPIlApKU3M4MH0VxiI9g/e+g6hWYLDVhYzjV7BarcR2i8dkMLJx5iqybImgxm5cwpcDJP11n/cYTYYk4BnsQ0m2jlNrd5H43i+ExMfy0KoX0Hi7YakwUZpbRMnwp51spe3SFv/Z0qcsSn7djO6z7/Gd/CQVZy+h33WAkM+WoaofgyVXWmU3Z+aQPVXKjKrt2Aq/meMQBAFzXiGKsGAEmcDZNYmc/eA34mcN/9t6CmzXgL7rXqbwXKo94cPJpT+QsUM6bzN01RMYz5yn7Nff0SS0x3v6JASZnLLfN1Hy1Rq8xo3BeP4S5Xv2EbDiLZT1YrDkSTJYsnLIn7UQVEqCv/4UAGuZHt2y5ZguSwPT/amhhPRsTgvbpyyS1/51z35XkV+MW0QA7VZMROnlhmi1ovR0A1G8L/Sr+nXO3nO4f/Wm9IkRQN2xPd7TJoNchn7DJkr/vQbPZ8divHCRisR9eL0wBXWb1mA2Yy0poejdDzAnXwMg6Ofvkbm7gUKJWFpK/guzMF9LIS26P01sn49J+34XV95bR4PZI9CdTCZns+RzLVZOwisuGpPN5wy2lc7w4Z2pO3UIIJKz7QQXXv8OuZuajutelpKJyGTk7TlN+dsf2rf7undrQ/AC26csftpC/sf/IWDaE5SfvkzpjoNEfbUEdcNozLb6asrIJW3CIrwG9yBs2XQqrlRO7mTMWY7PI/3x6NqasjIz+xxi973EJ22wD52Wj5dWTQQ48+EGGl+Rts55v7UCeWQUgps7yASsOh3lG37FsPZb3EY/jfnSBYwH9+E+/nmULW22KC2l7KP3sNgGgeoefdA++jiIIsbDB9F/IX2KwvubL7lTzHplGYePn0KnK8bfz4dJz4xm+KB+t3xmd9N5+PdqQYPXnwK5jMzvd3HtvV+Jnf0wxSevkmezd5OVU/C02fvM+PcpT8lBExlIi7XzwSpSkVXA+emfUG7Lah3+ZG8inxuA1WzGmpFNyosfYNGV4NWjNeGvSJkm8/+zneyVPxLy4ij0p69QvPUQbvH1iPlsHnJvD8QKI6ZcHRd6Py9lOl0yHo92TRGBkl3HSH/9C7sch6yedF78FBHd4zGXG9n14irybHYfvnkJP/eT7B7g2NbtOslem937rJqKT6x0ZrY0LY/d876UVpiDfej+7njUwZLd93/8O2d+lQb9/V4fQ11bHN8w81MybXH82Y1v8PmA+QD0nDeSpg5x/MTanex57xdGrZlHYMNI+8RgUUYexvHVs1MDeHRvQ+hLzyHIZBT+uJXcj34g6IXHMZy+TMn2Q0R/sxhNwzqYcqTVN1NGLqnjXq+R1olyH9q+8RRhtj7B/umrKLDpacDWJWzsI+nJLz6GhPckPWXsPMnhBZKeVL4edLnhH+l50qcsdGV0ePtZIge0pSw9D7dQP5TuGoqvZpF4i75TZ4e+00GbHaL6t6H94ifR+HliLNZTcDaFrY+/SeuXRtLkaemIQ0VBKYfnf4VfXPQ9tdk3ENSxMU0mDHD6lMXjGd/eyFBYyv/IpyymRz9Wq4Ok5dfWCrcvVTMEQdCJouhj+1sACm/8vkn5dkiDyKaiKN5yV6trcHif4Dg4rA04Dg5rA1UHh7WBS3LN7QvdIzxuk8XvXpGv+Nt+fMdwu39HuW4KX1tGwNpCsUxeq/QBrv/9oxF3hEe8qm9BvN/Ynx90+0L3iG6RNaYUv2/Ynxpaq/T/W+gUU7t6Op4UcvtC94hYr5q/6XY/cVh/58nJ/g4GxF+/faF7xN0MDv8OdjedV6v0AfzU5bXO45D175+vvxPkyWu//zlEXvs+caLcp1bpm2u/24HyvzAUcBgc/s+gtgeH76X8ZzwwzuHSKlEUV934IQjCNqCmxmMB8G/HwaAgCIWiKNaYhUgQhFBgF/CUKIoHairjCMUdvb0LLrjgggsuuOCCCy644ML/EdT2XL1tILjqFvd73+yeIAjZgiCEiqKYaRv81TijLQiCF/AHsOBOBobgOnPoggsuuOCCCy644IILLrjwv4TfgKdsfz8FrK9aQBAEFfAr8LUoitXT5N8ErsGhCy644IILLrjgggsuuOCCA8Ra/u8esQzoIwjCZaC37TeCILQRBOFzW5lHgK7AGEEQTtj+tbgdYde2UhdccMEFF1xwwQUXXHDBhf8RiKKYD/Sq4foR4Fnb398C1T7Fdzu4Bof3CV+Ou7PU0X8XzU21u8ibjer2he4RtZ+iBNyttZtopdRa+y7jVstJdQCUtZyISvVfSHTVoKJ2eRQV3b+PMt8MOf+FCLy3lhPG1HZdAshR1v4ml6NXazdhzH9jm45vqL72mSTVbkKaQ8dqP8GRupYTxnQ9u7RW6QP8J/7lWudxUmW8faF7QHNz7fc7/rx58sb7BmUtx3Hf2u3WANz7Gtb/o/gv5Af8R8K1rdQFF1xwwQUXXHDBBRdccMEF18qhCy644IILLrjgggsuuOCCI6z/R9dUXSuHLrjgggsuuOCCCy644IILLrhWDm8GQRCuASWABTCLotjmVsU7vzaaOj1bYDZUsP3FVeSduVatUGBcND3fHY9CoyJlxwkSX/kGgLbTH6LxqO6U55cAcOBfP5C68yRqHw/6fzqVoOax5P1nJ1fnrwbAp0cLYl8fC3IZ2Wu2k75ynRMfrw6NiVk0Fvcmdbg4YTn5G6TPmqgjAmj0xWyQCciUCjJXbyLr6y3254J7xBP/+pMIchnX1uzk0srfnejKVArarJiIT3wMxsJSDo3/AP31PHxb1qXlW8/cUBwX3v6ZjE1HAFB6udFj82LcwgMQRZH9c77g6o97qunGLy6aTsvHI9eoSN9xgsMvS7pR+bjT9eMpeEQGUno9l90TVmAsqjxX4988lgd+e4Xdk1aS+sdhAno0p8XHz6NwV2PSlXFu4b/JXL/fSYb4lZPxjo/BVFjK8XHvY7ieS9jwTsROGmQv59kkisTe8yg5m2K/1vrrmajqBLOu1zzaLxpNhM3eidNXkV+Dvf3joulikyltxwkO2mRqs3AkkX1aYjWaKUnJIfHFVRiL9YR1aUbr+Y+i9fFAE+yNsaCUK19s4WINdmj7wUR846MxFpZyYPwK9Gl5+LaIpfVbz9rsAOfe+cVuh9bvPkdon5ZU5BWztcdcAno0p/Hip0AuI23NDpJX/ObEQ7Dpycump5M2PYUO70RMFT3ts+lJUMppsvRp/BKagFaFTCZgMRi5+t2uGmVoZ5OhwkGGoK7NiF/wGDKlAqvJzMlF35G79xxyrYqOq6biHh2MaLGSueUY+fvO3ff6WvfZ/kQ/0QNBEChe+ye5qytpenZrScSrzyHIZeSv3Ur2Rz878XNv14SIV55F2ziaa1PeRrdxn/1e2Pyn8OrZRqKbeJL0Vz6z3+v+2mhierTAZKhgy4xV5NRQl4Lioun3jhQ7kneeYJctdgz4cAq+sdIZLbWXGxXFetY8sIBGQxNoPf5BALTuGjzqBGHIKODyV1u5UIOe2jvUp302W6h8PUj4bBp+LWK59p/dHFvw78pnlHJavTGGoI6NwSqStuEAEYM61JotTn+/E6+oIKJsPrfzJjE2IC6aHrYYm7rjBHtterqB+HEPkPDS43wVP4HywlLJNh0ak/DqE7h5uaEO8KI8q5DUNTu5stLZJ2QqBS1WTLLLcHT8+xiu5wHg2TiK+LeeQenphmi1sqf/QqwVJhrNfYSIh7ui9HHn2DPv0WSxVF+vr9lJ0orq9JuvnIS3jb4Um2z0m0QR99YzKDzcEEUre/tJ9AWlnGZLx0o+Z7Vi+vpTKv7aDYCqXTu8pk4BmRzDH39QtuY7J37awYNxe2goWKyIBgNFb72NJSUFVZvWeI4fB0olmEyUfPwJxmPH8Zz6POoOHRhUbGHv9FUU1KD/u43jSk8tnVdMxD3cH5lcztlPNlL03Q4AGi4cRVCflsjdNciUCiyGCq6v2cHVGvR2tzHdr0dzGiwegyCXkbFmBykrnDPACyoFTVdOxjM+FlNhCWfGvU/59VwEpZxGb43Dq0UsolXk0sKv0O07B0DwsASipw1DFEXkXoFYSnJAvP2JpYVvvMvuvYfw8/Vh3bef1FhGpvFGppE+SC9ajFhKcp3uu4f70+HdcWj8PTHqytj7/MfoMwtuy9sRbV4fTbjNv/ZPX0XB6WsArExaS/rFVAC0HlqsVhGToYKvZ37E9bPJTjSUGhXPffQiAXWCsVqsnN5+lPX/kupdz2cepNNjvbCaLZQUFPPt7I8hpRiAhEWj7b69a/rNfbv78krf3vdydd/u+PLj/DtO8u06fVvRdtYILFYR92AfrCYL5bpSNt0kxgbHRdPfIcbusMWOwMZR9HljLEp3DcVpufwx9WOMpQbpnRpF0nfp06g9tbgFeFNRosesl+J47k3ieB8bj2s7T/CXjccDNcTx7x5YQM+lT9Pooc4o1AqubTjInokfVqN5tz7XdMKDxDyUAIAgl+HTIILStFzMpeUcXvg1DZ/ui0+jCBBF9r/4GXlHr+AXF03H96T3Tt9xgiMvVfLo8skU3CMCKUvLZc94iUf0sASaTh4IgoC5zMDBuV+hO5d645WnIyVLEYHTwFigvJpg/xD831w3dK0c3g49RFFscZuBIcAD3jEhrOkyg11zVtPtjTE1Fur6xlh2zf6cNV1m4B0TQlT3ePu9U5//yQ/9F/BD/wWk7jwJgKXCxMG3f2LfYodGXSYjdumznB21hONdpxM4rDPaBhFOfCrS87g87UNyf010um7M1nFq4HxO9p7FyQfmEf78UFTBvja6As2XjmXvqDfZ2nUWEcMS8GwQ7vR89KjuGHVlbOn4Ilc+3USzhSMBKL5wnZ39FrKj93z2jfwXLd56BkEuVa12n0/DUm5kXdSTbH1sKY3G9q1RNx2WjmX/7M9Z13kGXjEhhPWQdNNs8iCyEs+xrvNMshLP0WxyZWMvyARaLXiUjL9O23/Hvz+B0ktpbKn/NMb8YupOH4bCozKxSMSoHph1pfzV4QWSP/2Dhi+NAiDj570k9ppLYq+5nJzyIfrUXKeBYfCAtljKKiQaPZvjFRPCz51nsG/OajouHVOjTB2XjmXv7M/52SZTuE2mjN2nWddzLuv7zKf4aibxUySZygtK2P70u4hWK/vGLAcgcmjH6nYY2R1jURl/Jszg0qpNxN2ww8U0tvdfyLY+80kc9Sat3nzaboeUH/aQOOpNu62bLHuaI6OWkdhlBqHDOuFehUfEqB6YdKXs6fAC1z79gwY2PWX+vJd9veayr9dcTk35EIODnuq+MAxjXhF7Or+IaDST+NQ7/NltNlE1yBBjk2FTwgwur9pEvE0GY0EJiU++zZaeczk09RPar5hof+bixxvZ3GUWW/vMx79dA1q9N/6+1levRhFEP9GDXQ+8xPaec/Hu1RZVHVuSEpmMyMXjSXrqNc73moLv4C5o6kc68TNl5JEy430K1+92uu7euhHubRpzoe80zveZint8PTw6NJPesUdzfKJD+LLrDLbNXU3PJWOqVySg15KxbJ3zOV92nYFPdAjRttixcfJK1jywgDUPLODKpsNc+fMwABfW7WPNAwv47sGFyJUK9On5/NFxOnWGdsSrip5ibbbYmDCDi6s20dymJ0u5iTNv/sjJRc6DCoDG04ZSnlfMxs4z2dp9NlHDu9SqLRqO6IJ/kyi+7zKDv+aspsstYuxfsz/ne1uMjXSIse6hfkR2jaMkLc9+TeXlRuclY9j87HJEi5W9wxaxs+tMwoYl4FFFhshRPTDpytjRcTpXP91I44WSTwhyGa0+nMzp2avZ1W0W+x56HavJDEDWlmPseWAhAE2XjeXQqH/xV5db09/VYTrJn26k0UuV9Ft8OJnTs1azu9ssDgyrpF/vhWFU5BXzV8KL/NVlFsYTUtuBTIbX9GkUzppD3pNPoenVE3mdOk78yrdtI3/M0+Q/8yxl33+P15TJAFiLiiicO5/8MU9T9MYyvBfMR9WhPYqICPJGPc7+Oatpf5OYd7dxvOGYPhRdSmdDnwVsHrGENi+PQlDKCezdEu/4aBJ7zwWriDG/mH0PLCRsWKdqervrmC4TaLjsaU6MWsqBLi8SXEP8CxvVE5OujP0dpnH9043Us9EMf0JKDHiw+yyOP7KY+q+OBkFAkMtosHgMxx5axKEesxHNRmRa7xp1VBVDB/Thk3cX37yATI5M64VZl45ZlwaAoHZ3KtLq5VEk/5TIH73nc2r5r7SY98gd8bbL27M5njEhrO80g4OzV9POwb7GciNLB8zmtze/J/tqBq92n8qa+at4bMmzNdLa9tnvLOo1naUPzqZu64Y06d4CgLRz11g2aC5LHpjF8U0HGDbvCQAiezbHOyaEtZ1nsHvOajrfpG51WTqW3bM/Z21nm2/3cPbtiCq+nZ54lp/6zGfPmz9QmJyFsaycLXNX0+cmMbb3krFsmfM5q7vOwDc6hBhb7Oj35rPsXvYf/t13Hpf/PEJb26SbIJfx4PsT2Tr/SxKXfE/uuRS+7jaT7beI4z2WjGX7nM/5ty2O17Hx2DR5Jd89sIDvHOJ4dI/meEUGsu6JZZz9+A9COjapkebd+tzZT/5gQ98FbOi7gNSNh6koKuXXji9ycPZqun42lcxdp/i962z+6D2fossZALRbNpaDsz5nfacZeDrwaDpF4vGbjUdTW1+m9HouW4cv5o9e8zi9fB0d3nz6xuuGA1OBNkAzpDyFj9UomAv/v8I1OLw/GHLxZ2kgln08CZWXO25BPk4F3IJ8UHloyT6eBMDFnxOJ6XfrMafZUEHW4UuYK0z2a54t61GenEVFag6iyUzuur349Wvr9FzF9Vz051MQrc6zlqLJjGiUOhUytQJBEOz3/FrWoyw5G31qDqLJQtq6/YT2a+30fGi/NqT+IK36pW84SGBnqYNrMRgRLRIvmUZpn2pReGrxa1mPi+9Ls7I5hy6h9NCgraIbbZAPSk8tecck3ST9lEhUf0k3kf1ak2RbaUz6cQ+R/St11ujpvqT+cZjyfGn20b9lXcwlBvJ2nsJabiLjl71YK0wE9Gxufya4fxvSfpA671m/HySgc9Nqeg8d1onMdZWrPnI3NTETHuTK8l8AiOrXmis/SfbOPZaEytv9pjLl2mS68lMidWzvnrH7jF1fOceScAuVsv8VnE3BPcyf0mvZZO86Ja04bjhEWBU7hPVvTYpNhvQNhwjq0rS6HdRKpymvvAMXMNpWSvxa1kWfnIUhRbJ11rp9BPd3rovB/duQYeOR/ftB/O9AT+Eje3D1g/X4tKpH6bVsdKeuIZosXF9/gPAaZLhmo5/mIIPuTArl2TpAGuzKNSpkKgUWg5Fc2wy9aLJQnq3DpCu7r/XVs344hceu2O+XHDiDzwMdAXBrUZ+Ka1kYU7MRTWYKf9+Dd992TvyMaTmUX6jB70QRmVqJoFQgqBQISgWmPEnGun1bc94WO7KOJ6H2cse9Sl1yt8WOLFvsOP9zInVriB0NBrbnosMqOUBIi7pYzRZSfk7EarKQege2CLbXpwryDl3CUm6iKmIf68b5D6QVHL8WdSlNyqxVW1gtVsoyCwHIsempphir9NCSY9PTpSoxNuGVJziwZC04ZFetPzSB5D8P4xbkQ1lyFkUnriKaLGSs209IFR2H9Gttjx2ZDjIEdo+n+FwqxbaZcVNhKdgyDuuOXaEiRwcywcnnMtbtr8HnWleJTRL9gO7xlJxLpaQG+pEju5P0gW3VSxQRi4oAUDZuhCU9HUtmJpjNlG/fgaZzJyd+or5yB4ag0dj1Yr58BWt+vvR3cjKCWo2maxcMmzcDkHebmHdXcVwUUdom75TuGip0ZYhmKx4NwinYfwHv5rGUXc2k6ORV/Ls0I/MmsepuYrpPq3oYkrMpt9kie90+Avo7t6GB/duQ+cNfAOT8fgBfmy3cG0RQmHhGskNeMebiMrxaxIIgAAJyN7VNoTJEi7nae9SENi3i8PbyvE0pwcYD6f9VsnJ7Nwgna+9ZALL3niPCwf+aTHyQBzYu4sFtbxA/86EaqUf2a02yrU27mX3j+7bh4C+Snq8dv4ybpztegc5lTOVGLu2X3sNisnD9bDK+If4AXNp/FlO5lP00+fhlfEKkdi+6b2su2XjnHLuNb9vq1qWfEol29O1Xq/u2WS9N5tbr25pru0+DKJJ5mxibaYsdZ39OpJ6Nvm9MCGkHLwCQsucMDQZIdSW6axy556+Tez6V2L6tObv2L0SraI/jN+sD3i6O1x/Ynkvr9xPbtzXnfthNxuFLFF3JQKZS3Le+0w3EDEsgdaM0oVh0OQOVlxvp204AYDVZMBXrq/FI/inRTiuyX2uu2uL61R8qeeQduWzf4ZV37Iq9j2ODAtDa/u8GZFR7sX8QrIi1+u+fCtfg8OYQgS2CIBwVBGHcbcqGl2bk23+UZRbgHuLrVMA9xJdSh20eVcs0e6oPj255gx5vP4fa2+2mjFShfhgzKmfHjJn5qJ0d75ZQhfnTYsc7tDn6KWkfrseYLXW4NKG+GBxkMGQWoK1C17GMaLFiKtGj8pMaNd+Wden915v03vkvTsxejWix4h4VhGi1EvVwZ3pufYOObz2LIVuHWxXduIX4Om2B0WcW2MtoA7ww5Oikd8rRoQ3wkq6H+BLZvw0Xv97uTCclh4CezZFpVZiK9bjHhqIN83eQwY/ydEcZDCj9nBvm0CEdyfh1r/13g7mPkvzxH1gMRjufsir2vhuZHFH/sa6k7Tzl9JwhPZ/wB9tRePoa+rQ8tFWe04b4YsgoqJShWI/KzwOQBn59dv2LvjuXcWzOF/aOt/Pzfk62Ls8oQB3ibGt1qB8GBz2Zb6KnTJueFF5Sna0/5xHiPpqCR0wIaput9JkFdyXDDdzQgdXo3MlSerkR0LExRReu26/dj/pafOE6/u0bofL1QK5V4d2jNarQAABUIf7V/E4Z7M+dQH/sIiX7TtPsyJfEHfmK4r+OU3FFWgHwCPGlJLPSFqVZBXhU0ZVHiC+lWQW3LBPeriH6vCJ017KrPav28yT1V2nQWJMt3EJ80d/GFo5Q2mwdN2cEfbcsJu61J6goKLbfrw1beNUJRqaqPAVRepMYW+bgc45lovu2Qp9VSP75VKdnvGNCUHu70+3NZ/GOjyHi4S4AlGfmowl1pq8J9atRBvfYUBBF2n8/l65b3qCuw+6GGxAEoYrP5aMJqU7fOTbpUfp54l43FFEUabd2Lp23vkGsjf4Nn2sw52E6b32DVp9NQ+Yr0ZQFBGLJqdx6aMnNRRYYWO293IYNJeD7NXhOnEDxBx9Uu6/u1g3TpcvI/Pyd6NUUz/5OHL/w5Va864cx4thKBm1fyuFXvgFRpORsKgE9m6ONCsKYX4x/pyZow/wx1BCr7jama0L8KHewRUVGPuoqsqhD/ahwin+SLUrOpRDQrw2CXIYmKhDP+FjUYf6IZgsX53xO+11v0fnUJwgKJWJFSTV9/i1YLVgNOhR+USj86oDVimgyOBUpPJdK5APSoCXygTaoPLWofD0I7dYMz5hgNg14mT/6LMAvLoag9g2rsdBWbdMyKuOEUq1kzm9Laf1gR/wjKutQYVa+fYBXE7RebsT1as2Fvaer3Ut4pCdnd50AbH57B+1p2U36T3X6tqIsq5CCKr4NEN2/DY2HJtB23AD+nCVt5S+5gxjrWCbvUhr1+kqD7QYPtsfTFtt8Y0MQERn+zWwaDOpAeLsG9uf/bhwPc4jjHiG+lDq0Deay8vviczcg16hwDw8g9U9pG79HVCDmciPt33yaAVsW0+HtZ5Fr1Wir8HCsG5oqPDRVeADUHdmdjMo+TjrwNpAKZAJFwJZqD7nw/ztcg8Obo7Moiq2AB4DJgiB0rS1GZ77ZxprOL/KffgvQ5+hIeOnx2mKFMSOfEz1ncKzjFIIe6YYy4M62vtwOhceT2NZtNjv7L6TB1CHSSolChtLTjYxNR9jRZz5mfQXuEQH3xOfGxGDb157g2BvOM4UAFVkF5G4/TsKGRdQZ04eKXF21lZxbwbtVPayGCkovSJ13z6Z1cIsOInvT4Xt675oQP3UwotnK1V/2Ol1XersTt/Axjs1efdc0C44nsbX7HLY/8BKNnh8srSDWArxb1cPioCdBIUcb7k/h4UtcWvQdFfnFNH/l79djrwbhxC98jKNVdCDIZbT/eApZ209gKf37xxRqqq8llzO4tPJ3Oq2dR6fv5qA/l3xXdedmUNUJQVMvkrPtn+FMu6fxTIjDvV3NW4T+LhoO6ciFKquGAD7RIVgtFooupt03XoJChlu4P3mHL7Ol70JKkzLxa1nvb9O7E1uYSvV/2xYKjYqWUwZz+J2fqt2TKWQExsVwbOVv5O48Sf3pw3CPvbvvHQoKGX7tG3J88ofsHfIqIQ+0qXH16u9CJrfRn/Qh+wa/SsiANvh3aerkc4l95lN45DKekybenqAD9L+uI2/k45R88ikeT452uqeIjsZzwjiK337nvslyAzfCdlj3OArOpvBTqyls6LuAdoufROGhJe+vU+RuP07DeY/i36kphUcu/237V43p94LM73ZSkZlP2y1LafD6UxQdvoRotSIo5ISP6cOhXnNJjJ9g21bqc8/8ABBkCCp3zAWpmAtSpN9q58mbY4u+I7hjIwZsWUxwx8aUZRQgWqyEdosjtFscA7YuYcCWxXjXC8PzLuv3wk6T+NfgeVw/e43uYx4gICr4ts/I5DKe/mAaO7/aRP71HKd77YZ2oU58LNtW/XaTp+8cCo2Kls8P5sjb1X0b4NqfR7h+4Dx7/vUDnWeO+Fs8Ns/6jBZP9uaJP15H5aHBYtvSLZPLiWjTgI1TPyLz6GXC2jUistO9+X3DIR2r7f64X6j6OdrIvi0xFpVhLpHaUUEuR+muJeWPw2zsuxCzvoJmU6pPdN0Nj+CExtQb2Y1jS9beuOQLDAFigDDAHXjiroX5L8Jay//+qXAlpLkJRFFMt/0/RxCEX4F2gONhosk5OTlzCwoK/E+cOFGW62eyf+TdPdSPsqxCJ3plWYV4OMymO5Yx5FXOup/7bicDvppx0/cyZhagCqscYKlC/am4y4PnAMbsQvQXruPVoTH5Gw5QnlnotMKmDfXDUIXujTKGzAIEuTTwMxY4z46WXM5A6eVGrx3LsJrMmPXlmG2d+JQ/DlFvZDf0VXSjzyp02nbgFupnL2PIK0Yb5CPNfAX5VG4hjY+h60dTAFD7eRLesznnPt2EJsyf0y+uIum9ddSdOoTQIR0pS8p0kKEATbg/5XYZtJgcZAgbmkDGr5VbJX3bNMC7eSy9z3+GwlOLIJej9vXA3UFX7g7veycyAdR7pAuRvVvy5yPOH0u2miyE9GzOnseWUZaSQ8TgDhiq0DZkFaIN86u0g5cbxoLSanYwl5Xj3SiCwpPJVZ4vcF5NDfOjIsvZ1hWZBWjDpbolyGUoqugpdGgCmQ56MhWUYNaXk/3HIXxa18NSYcInLtou+93IoA31I+GL6Rya+gllKc4di9ZvPUPp1SxS1+2j2Yzh9uv3Ul/NZeV4NYpAdzKZlO93kfL9LgASFg7DZJu5NWblV/M7U3Y+dwKf/h0pO34Rq17yA7OuhOgPZ2HO05F0KgXP0EpbeIT4UVpFV6VZhXg4zNBXLSPIZdTr35bvHnypGu/AJlFOMtdkC31WIW63qU+OMBaUYtaXk2bbjpSx6TDhAyu32N4vW8g1SgS5gMJTS0WR3r5NDMDjJjHW3cHnbpTxig7CKzKQhze/AUj+OnzTYn4Z9AqlmYWUF56iJDUHlb8XBQcu4NW0DppQf8oznemXZ0p+U15FhvKMAvIPXLDLk7P9BN7xMeQlnrU/K4piFZ/zpzyrOn3n2OSGqaAEQ2YBBfsv2P0vZ9sJvONiyN9zFrO+nKw/JDtk/n6A+mNnAmDNy0UeVLnKIw8MxJrrnMTEiff2HXi9ON3+WxYYiO/7yxFLy/B5fRGmCxeQBwVyY4Nx1XgGfy+O13u0G2dsyYtKrmVTej0X9/phFB1PIum9deQnnqX+zBEIgkBZUiZeTetUi1V3G9PLswrQONhCHeZPRRVZKjILUDvFPzc7zcsvf20v13rDIgxJmXg0i5bkTJFW7sWKMmRuPuC8wPe3ICi1YDXZk9tYjWUICrVTGUO2jt3Pvg+Awk1N5IC2mIr1gMDZFb9z+dsdTuUbjOlNvcd7ALDzibcwZBXiHubPjRriHibFia6j+9FppHTOMuVkEoJcRmTTaPJSs/EN8UeXVXPfY9TS8eQkZ7Hzi41O1xt2iqP/lGHs/+kvZq17A60okHvy6h21p+419J9u+PaILZW+/dCfizn39XbqDu4AQMapq5TryvCOCkLr64HnHcRYxzIFSZn89MS/AGmLaWzPFgD41w9H5eXGw9/NI+fUVYxl5QQ2i+b63rN/O443GtqJksx8Gj/UmexTV/H4/9h77/goqu9x/5nd1E3vmwYpdEjoPYFQA0gTUCkKokiRokgvNroNRVARsYuidEVK6L0HQq/pvZOym7LZ+f0xk7JJaJL49f377OMrL9mZO+fMufeec2dumwptg4mVRY34XMMxPak/qhvW3i5kXIlCJee9JikTsaSEZHkPh5idZ2k2ZQC3f9xvoKO0bgAUVNJRmFH+LGvf2JsOH4/j4IsflS1pAXoCUVBW1bYCnYBfMPKfwjhyWA2CIFgJgmBT+m+gN3C1UrIvXF1dvRs1aqQaPnz4ywNHSb1Sbi39KcrVoJGH2kvRpGZTlKfFraU/AA2HBhEVdgHAYG66b582ZD6klz/30l0s/dwxr+OKYGqCy+DOZIY93qiWmbsjCgszAJR2Vti2a4T2rjTdO+vSPaz91KjquCCYKvEa3JEk+f5KSQq7QJ3npWlXnv3bkyavcVDVcSnb+MTSyxkTKwuODHiPAyFz0MSn4zemJwD+zwVRnFdQNg2hFG1qNsW5WpxbSXnjPyyIuL2S7viwcPzlqV7+zwWXHd/W8S22dpjO1g7Tifn7LGfm/8D1r3dh5afGppkPgqkSz+FdUarMST9cPm0zde8FvJ6XBoHVA9qTUeEBDkHAfWAHEiuso4v9cR8Hm7/O/savcaTjdLJvx3Ni1rfUGxYEgEsrf4pyNA+0yUW2qd6wIGLle/cMCSRgUn/2v7ySEnkNBkibY7SaNRRdfgHa5CwEUyXegzqQtLdSOewNp65sg2f/dqTKNqi8y8tB5eWMTT0P8uOqPhBmXYpE5afGUi5r9eBOpFbSkbr3Ah6yDrdq8kk9sIPBekOAtLBwHDs34f7Fe9jW9yQ/Lr3MhsRK8hP3huMjy/eqYIOprYqgn2dyZdlGMs7dNrim6ZznMLVVcemdn8m6FFlj9dWmngcaeVfI0qmwlp5O2PfpWLa5jCbiDua+7ph5S37nMCCY+/vOVsnb6ihKTMOmQzNQKsBEicLCjLh5X3Kr73Tu7b1A46FSXVLLsSO/Ul3Kl2OHWo4djYcGca+CrXWCmpF1L9FgyhIAgoBnu4YozE2x8nZBYaqkzqAOJDyiLFIqlvUDSAy7iGunxgCYOkijGDVdFgl/neFgz/mcGvMJ5g7WWMsPMa4PibHFeVpc5XxqMDSI6LALZN6M58eWk9nQaTobOk0nPymTLX0Xok27T3TYBdRtG5J2NRprf3cc2jckPyoZj8EdSa5kQ0pYeexw79+edNmGtMOXsW3kjdLSDEGpwKljY3JvJxhmmF7EqoLPeQzuSEqlckipFJtKXy7TDl3GprE3ilL5nRqTJ8tPDQvHqbM0Cu0c3IySaGlzqOKbt1B6eaF0V4OJCRY9ulN4wtBflV7lm7CYd+xASbwkU7C2xuGD5eR8spL0US+S8eo4Co8dxzI0VNLTyp/ih8S8J4nj+QnpuMujrBbOttj5uaOJSQWFgKmDNfcv3sO6oRe2zX3JOHEN98GdquTbk8b0+xfvofJTYyGXhdvgTqTvPW8gM33vedyf7wqA64AOZMkyFZZmKOR1hY5dAhB1evJvJ1CYlIlVAy9MnaTprIKZJWJJETWCXodgYgFIaw4VppZQYrgO2NzRumxNYtOpA7n3u7ReMunIZfyHd8FEvmdLtQPmTrbc/mE/u3otYFevBWhTsokPC8dXbtOcK7Rp53Yc56PB81nebza3Tl6lboAfSXfi8WlZH22uhpy07Cq3O2DGC1jaqNi86AeD415NfRi57DW+Gvch+9buYHm/2WwJXUD0ngs0kHW7tnqEb8t1q8Gwct/+qcVkfu04nV87Sr69tc9CLn3xF/smfM6W0AXc3XuBli/3Qmlmgr2PG4UPibHucuxoOjSIu6XPZ07yVElBoMO0QUT8Ii1lObxkAzlx6fz67PtE7gvHu1MTMu8koG7pT+FDngErxvHISnE89Vo0v/Scy699Fxi0DdZ1XdEX6WrE5279uJ+9Q5cglui59f1+/OW8t/Z2pqSwGFMbaQ2we3BT7t9JqKLDt5IOPzmu+z1frkPl6UTX9W9yYtpaciOTK95yLNABaa2hAPQAbvAfRqzl//6rCGLlcWAjCILgB2yTf5oAv4qiuPRhl1z5cZ++TkggOm0RB2esI+2yNFrz/J6l/NFnAQAugb50Xzle2or5UATH3pZ6IHt8NhHnpnVBFMmJT+fI3O/KAsuLJz/FzMYSU1Mluvsarg1fjIW3C76LpE9ZpP52kPhVW6kz+wXyLt0jM+w81i38afTdbEzsrdAXFFOcls3FrtOx6xKI73tjpLF/QSDpu92k/LIfgBTMcOvRgsBFLyEoFcT8dphbq3bQePYwsi9FkhQWjsLclDZrXse+WV2KsvM5O2E1mthUvIcF0XDqQGkHPb3IjZXbSJLnsds1rUvn3+diaquipLCYQ698SspJKRb0D1vKzt5S3jgF+tLpUylvEg5FcHahlDfmDtZ0WTsVK08n8uPTOTJxNUXZ+QaZ3+nT8cTvv0js3+do0rMFrb55AxAoTMvm/EsfoX6mHfcjIkndewGFuSnN10zGNsCH4uw8Lk74HK08OuXYqQkNF47gVL+qIzAAlt4utPhlNtt7zKPD0jF4hgRSoi3i2FvryJDLe2DYUv6sYFPwp+OlLaYPRXBatmno8U9QmpuUbaWfFn6XU3O/p/kbgwiYMoDC1PvSmi0B7qzdxdXlf9Bk1lCyIqLKyqHd6kll5XBm4mryY9OoMyyIhlMGIBaXIIp6bqzcRuIeKVi3+3IyLp0aY+5oQ0FaDqk7T+PSoyWCUkH8b4eI/Gw79WY/x/2ISNLkfApcMxkbOZ8iKuVTg4UjOF0pnyy8nAlcMxlTOxU6vYipjQpEkaiNR7i5agdNZw0ls5INDrINp2UbGr85mEZTB5AXWb527ujwFSjMTOgfvpqcOwnoC6VpPemnruPWvUWN1tcu29/BzNEafXEJaUvWk3eivGPBtltrPN+VdtPM+P0AKWs2oX5rJJord8nZdxZVYD18v5mH0s4asbCI4rRsbvacKu10unQC1u2aIgK5h8NJWPwdAIexodviMfjIsSNs5jpS5Lo0avdSNvSV6pJboC+9Pxkvb4EewaEKoxe9PxlP8sW7XK40OuDVoTFBc1/gzidbaSn7deTGI9xYtYNmclkkyvnUoUJ9OiWXBUD/s59hYm2JwsyE4vsajoxYQc7tBFRezrRfPQkzWxVFGTnEbjpGwzcG11pZHFv8K7592+At59PhCjF22J6lbK4QY7utlHwu7lAEx9/+icqMOvkpW555u8z/mk94hobPd8HC0gylpTm6PC1xvx3mzqrtNJw9jOxLUaSEST7Rcs3r2DXzoSg7j3DZBgDPoUHUnzYIURRJPXCJG4ulHV4bvz0Sz2c7YaF2oCgrD0EQKM7REP/bYe5+tp0Gs4eRHRFVFptarHm9LDaFT1hd5nOeQ4PwnzYIEEndf4mbsnxLL2ear3kdUzsrijJy0K9ahD5VusasQ3tsp04BhQLtrt3k//wL1q+MpfjWLQpPnMRm2hTMWrcGXQn63FxyP1uFLjoaq9EvYTVqZNnLIkDWjJlYjR2Debt25OboOVkh5j1NHLd0s6fzpxOkjTYEuPrFTnL/OILC3JTO++RZFQoBpYUZYome+N8Oce+z7dSXY9U/jekePZrTYLH0KZ+k3w4T/dk2/GY/R05EJOmyzCZrppTFv6sTVlEQk4qFtwstNs4HvUhhciY3pq+lQN4h03N0T7xf64dep8OqnrP0uYnH+JTFrHdXcO7iZbKzc3BytOf1V19i6IBQgzQKlQMKM2mHUlFXSEleGjd+jiAzIor4sHDqPNOWFvNeAFEk9cwtzs7/oWytdsNXQ6k3MgSQ1q2dmPoVeZVmZAC0XTYGD9m/Tk1fR+blKJI7+DBi2XhEUY8gKMjLzMHR05kibRE/z/qS2CuRAMzb9SHL+83GXu3IstNrSb4bT7Gs/8iPezj5+0Gm/bIQj4Z1uC+/UGYlpHNq7GcABC0Zg1dIILqCIg6/tY50uW4N3buULaFS3XKu6NuHIzixsKpvjzz1KVv7Sb7d/PX+NBgahE5XgpWLHXq9noLsfPZUiLGjdy/lpwoxtq8cY6MORXBAjrGtXgmlxWipg/vOnvMcW/F7mb7Gz3am/eQBIIroi0sws7FEpy1i38x1pMo6Ru5eyq+yDtdAX3rJOmIORXC4QhzvJcfxKxXieMjiMQSM6g4C6It0FGbns3/ECoK/mPxUz07+zwfjERLIsde/oJ38LKPTFnFtzZ80Ht8XhakJVl7ObG//JkX3NTgG+tLpMynvEw9FcG6BpMPMwZrgUh0J6dKnLLLz6fDxOLz7tSU/IV2usyXs7vsOLyb+IgDvAy8AOuAi0mctyqeF/McY5zOsVl+S1kdvFh6d6t/H+HJYQ3zp/WKtZmTz4tr9DEwKZrUqHyBPWfsD1c66x9sh7p+SYlL7M7Ft9LXvk9aVdruraXIVykcnekqUtRy7fM3yH53oKTnMo3YpfHo8ims3n0z/hTYk1bT2Y4dnce36hOJfaGpbN0x6dKKnJOye16MTPQW1HcMBzGu5x77LteWPTvSU/B74Tq3rOGlWQ6OfD6C5rvafO3L/hflxtbOyvxyH2g1NwL8Tn+SXw/8pXqnll8Pv/qMvh8Y1h0aMGDFixIgRI0aMGDFSgf/y1M/axLjm0IgRI0aMGDFixIgRI0aMGEcOjRgxYsSIESNGjBgxYqQi/+XPTdQmxpFDI0aMGDFixIgRI0aMGDFiHDmsKeoV1e4ien0tL1k1/RfmVafW/h4laIXardKaf6E7JcWk9tcn+xfVbmEk/ws2WNeyU5ib1v7GGM+Ypde6jpQs60cnegrcHXMfnegpuZjl/OhET0nXAY/33cp/yp9/u9aqfID8TPNHJ3pK/v/Qk+5oXrsbvP0bm8W8cHlRreuglu3I/xfa02dtH/x9z5oiJ8eiVuWHC7W/cZnF/82ldY9E/390007jyKERI0aMGDFixIgRI0aMGDGOHBoxYsSIESNGjBgxYsRIRf5vjhsaRw6NGDFixIgRI0aMGDFixAjGkcNqEQShIfB7hUN+wDuiKH72gEv6dD6xEkGpIH7DQaJX/2koz8yEgDWTsQ30pTgrj4jxqyiIS0MwUdJ05XhsAn0RlEqSNh0l6vMdqPzdCVz3Rtn1qrquxHz4O4nf/A2AQ7cW+C0ei6BUkLzhAPFrthvos+3QGP9FY7FqUpebEz8lfedpAKya+lDvg9dQ2qigRE/sqi2k7zhZrUEu3ZrTbPFoBKWC2A2HuLvG0CaFmQktVr+OfaAvRVl5XJiwCm2ctH7KpnEdAj96FVMbFaJez7E+C9EXFgPQ/f2X8O3WAp22kN0z1pF6NbqKbrcAH/p8MgETCzOiDl3i4Ls/S/fUuA69lo3F1MqCnPg0/p72FUV5WtTN/ei94lUAlALkJWVi7++BTlvI4enrSK9Gh3OADyGfSjpiD17i5Ds/G5wPHN+Xju+M4seAiRRk5WHv707IyvE4NfPh5EebuLBuV1naENmmYm0hYQ+wyTXAh9AKNh0utalJHXosewWluSliSQkHFvxA7OXIasuklJ7vvYS/rO/vmetIqUZfl1nP0WxIEBZ2VqxsMq5qHncLpOWilxCUCiJ/PcytNX8ZnFeYmdDu80k4BPpQmJXH6Qmr0cSn49qlGYELhqMwNUFfrCNi0a+knbgOQNctC7B0taekoJhiAVIjIvHs1ASdtpD9b60jrZr7dAnwoedKKV9iDl7i6Lvl5RD4ci8Cx/RCX6In+uAlTi7biI2XMy8e+pCse0koAEGpwMTcDJ22kOPT15FRjQ6nAB+CP52A0sKM+IOXOCOXdZuFI/Du1RJ9kY7cmFSOv7WOohwNHsHNaD3/BazNBcRiHSkrvkVz6jJWXVqjfns8glJB1u9hZHy9yUCP4yuDcXg+FLGkhJLM+yTO+YziRGm9S53vF2HZoiGa89eJe+39astVFdQa1/mTQKHg/uY9ZK3/w+C8/Zgh2A0LhRI9JZnZJC/8FF1ianmZWamou/Nr8g+cInXJl9Xq+DdihyqoDc7zJoJSSc7m3WRXY4ftsD6IuhJKsu6TunClgR2ClYq6f60j78Ap0pd+AdROfRVMlbRa9jIuHRsjiiIm+9ajCz8OgLJpGyyGT0JQKCg6toeiPb9THSatglBNeoe8JZPRx9xBcHLDetF69CnxAJRE3kDU6TANaMsz00s4NX0dmVeiq8hxDPCh42eSHyQcvMT5t6U6amZvRfDaKVh5uZAfn8axCaspuq/Btp47HVeOxzHAh0sfbOLG2vJ4VGfvj+jztQiW5pi4OlOSkk7Olt1kf2tYDnajh2A7tE9ZfU17eyW6JKkc/CJ2UXRHuk9dUirJU98zuLbdopfw6t6izO8yH+B3QRX87qzsd3X7t6PFW0Owr+/BzmfeJeNylMF1Hs8F0/zzSRRn5xP55V9Erq7a9gSumYyd3J5eHL8KbZzkZzZN6tDso3GYWFuCKHIidAH6wmLcB3XE/83BCAoFqfsukvPRt2XybLq2xOu91xCUCjI27iPlyy0G+qzaNcHr3XFYNvYhesrHZO8qr/ce88dg270NJg42CCYmFKdmUnAzhhtvfl/W5gFYeTrRYeV4LJxsKMrO58TUr9AkZVbJs4fRZvFLeMp5fmr6urLjJk6+UCJ9rF4s0VGSm1Ll2oXLVnL0xFkcHezZ/svaR+pSWDmhMFPxzP5lNVZnfZ7tRNPJ/UEQ0OVrOTP3B/JvxqI0N2Xk6U8xt7NCFEVubz7OsTnfVdH3pG12vWc70eL1/lgrSxA1WtIWr0bp7Ijz3IkISmWN+0QpNVGfBEEg53gECe9+U3auw6KX8JbL/+hD2rouch7FHbzEaTmP2i4cQZ2eLdEX68iJSeWY3NYJJkqCPxqHU4AP5jaWKC3MKM7Rcve3w1yvJsZ2+nwijgG+FGblcnziGvLjpWe+plMG4D8iBFGv5/zCn0g6cgWAQWc+RZdXgF6vR9SVVJtf/3X0/0fHDo0jh9UgiuItURRbiKLYAmgNaIBtD0iuBL4IH7mCE8EzcH+2M1YNPA0SeI3sRnF2Hsc7vEnM13/T4O2RALgN7IBgbsqpkNmc7j0Pr5d6YuHtguZeEqd7zJX+es2jRFtExu4zkjCFAv/l47g2cikXukzH5dkgVA28DPQVJqRz640vSN123OC4XlvIramrCe86nasjluC/aCxKW1VVixQCAcvHcmbkBxzqMhOPZzthXckm75HdKM7O52DH6UR+vYvGCyWbBKWCVl9M5srsbzncdRYnhyxGXyxt7OHbrTkOPmq+7TKDsLnf0mvpy9VmaM+lYwmbs55vu8zAwUeNb0ggAKEfjuPoit/5sfc87uw5T9sJzwCQfiuen/u/zU99F3Dpq7/xCm7G711ncXTOtwQtr15H8PKxHJ29no1BM7DzVePdLbDsnJW7I15dAsiNL98spCA7nxPv/GzwUgjg06059j5qvu8yg/1zv6X7A2zqsXQs++as5/suM7D3UeMj2xQ8fwSnP9vKhr4LOPnJFoLnj6j2+lL8ujXHwVfN111nsGfet4QuqV7f3f3h/Djo3WrPCQqBVste5tioD9nTdTZ1BnfEplL5+o4Ioeh+Prs7zeDOut0ELpTuqygzl+OjPyas+1zOTltL+9WTDK47M+VL9vWaz6kP/sDa3ZGfg2dwcM63hCyr/j67LRvLwdnr+Tl4Bva+aurK+eLZsTF+vVvza+h8fu05l4tfl+f7/ZgUNvZZQPiKP9AkZrIlaAYn53xLxweUdcflYzkxez1bgmZg66vGUy7rxKNX2N59Ljt6zScnMonAKQMAKMjMZf/LnxDZbzKJs1bi+fEMUChwf28Ssa+8y93QSdgN6IJZPW8DPQXXI4kc/CaRz0whZ/cJXOe+UnYu45stJMz4pNr7A0ChwPXtySSMX0j0gPHYPhOCmX8dgySFN+4S+9w0YgZPIjfsOC4zXzU47zRtNNrzVx+qo/ZjhwKXhZNJnLCQ2AGvYdOvG6ZV7LhH3HNTiXt2Enl7j+M0w7DzooodCkWt1NfGbwymID2HPUEz2dtlNiW3L0snBAWWI6egWbWAvHdew7RdCAp3QxsAMLfErMez6CJvGOZVWhL5iyaRv2gSukunULp6krdgLGdmf0u7B9TRdivGcmbWenZ0noGNrxoPuY42nTKA5OPX+TNoJsnHr9NUrqOFWfmcf/tnrq/dVa28xHFzEYC4Qa8RO/A1rPt1w9SvajnEvzCV+CGTyN9nWA5iYRHxw14nftjrVR6CPbs3x9ZXzdagGZx6iN91WD6Wk7PXs7WS32XfjOfQa6tIOX2ryjWCQqDZB6+SdjCCe1/8hceznau0PV4ju6HLzuNIhzeJ+vpvGr5d3vY0/2IyV2et51jXWZx+dhH6Yh2mDtY0emcUZ4ct4VjXWZi72mHdWY73CgXeSyZwb8z73OgxBYeBwVjUN/Tr4sR0YmasImvHUYPjVq0bYdWmMfdeeh99QRGFUYnEv70OlAp8BnUwSNvqnZFEbT7O3z3nc/nTbbSY93y1efYgPLo3x8ZXzY7OM6qpRyK67AR02QnVvhgCDO7Xi7UrlzyWLsHUEkFpii4rrkbrbF5cGvuGLuHvHvO48ul2OnwoxUePzk3IuBHHer+x/D18BfUHd8K1lX8VfU/aZufGpvHnsCXED5lI1toNuLz7Bi4LJ5M0aWGN+0QZNVCfbvZ+gxu9pmEVWA/rDs0A8JJ9blPQDI7P+ZZODyiTzsvHcnz2ejbJPudVoa3b2mMu2+S2rrlcJr7926E0M2F77/mIOj0lhcUcHPUhPoM6YFvfw0C2/4gQirLz+bPzDG5+s4eWC4cDYFvfg7qDOrCz2xwOjvyQtstfRlCUbxa3/7ml7O61gD19a3+TJiM1h/Hl8NH0AO6JohjzgPPtgLvamFTE4hKSt5/EtU8bgwQufdqQ+IcUCFL+OoNjUFPphChiojJHUCpQWpihL9ahy9UYXOsUHIAmOoVCOejZtKxHQVQyBbGpiMU60rafwDG0rcE1hXFpaG7EgN5wXzltZBIFUckAFKVkUZR+H1Mn2yoGObSsR35UMppYyabE7adQhxrapA5tTbxsU9LOM7gESUHMJSSQnOux5FyPBaA4Kw/0Us9Lvd6tubZFeuhMungPc1srrFztDeRaudpjZm1J0sV7AFzbcpx6sm4HXzXxZ24CEHPsKg36SXbrCooQSyRb6/Roga5A6rFNDZd0qCrpULnaY2ptSWq4pOP25uP4VLCv03svcnrpRqiwS1VBRg5pEZHoK/V++fduzQ3ZpuRH2JQs23Rjy3H8ZX2iKGJmYwmAuY2K/JQsHkb9Xq25KutLfIC+0nP5qdnVynBv4U9edAr5sWmIxSXE7TiNZ2hrgzQefVoTLZdv/M6zuAZLdTb7agwFKZLcnFvxKC3MUJhVnYDgVyFfUi4+uBzMrC1JqZAvfnK+BLzUkwtf/oVe3gVYm5FTRUed0Nbc3SzpSAu/h5mdFZaVdFi62mNqY0maXNZ3Nx+nruyfiUevltWb1PB7qNwdAci8FoNWtrHwdgwKC3NUbRpTFJNIcVwyFOu4v/MoNj0NHwA1py8jFhRK93vpJqbq8h02809GoM/XVrGhFIvAhhTHJlEcL8nP2XUEq+4dDdJoz5bLL4i4iYlbuXzzJvVQOtujORH+QB3/RuywCGhIcWwiOtmOvN2Hsa5iR0S5HZdvVLXDyQHNyQsGMmujvvoO78rNz+VRKVFEzJPqmNK3Ifq0RMT0ZCjRUXzuCCYtOlWx1XzwGGlEsbioyrlSTFp0ouj0PgDSH1FH0+U6GrX5ON5yHfUObU3kH8cAiPzjWNnxwowcMiIiH9gbb964Xnk56KRyqFyfCs5VKIeIGygrlMPDqBPamnuP4XdmFfzu3ubj1JHv/f7dRHLuJVUru+nEZyjKyOH+xXtQoidp+0ncKrWnbn3alLU9yX+dwVluT51DAsm9HktupbZHVdeV/KhkijKkXXXTj17Fvq+UF6oW9SmMTqYoNgWxWEfWX8ew693OQF9RfCoFN2MQK/mEKIoozE0RTE0QTJQI5qYUZ+agsDRHWymO2zXwJPnENQBSTlzHq0L9bTLpGfruWsQz+5cROHNItfniHdqaKDnPS+sRwuPvON2mRQB2to+346VgZoW+INdAV03U2fTzdyi6r5Hl3i2Ltz69W3Prd6k8069EI5goMbc33GH5n7TZKRfK9RVcvomJl7rWfKLsPmuqPpmZIJiaUJyeDUDd3pXaOtsHlIl1pbZOzqOEB7R1iGCiMseldX3y4tMo0RZRlJ1HzI7TeFeKsV6hrYjcJJVr7M6zuMl+5x3ampgdp9EX6ciPSyM3OgWnllVf7v9XEWv5v/8qxpfDRzMc+O0h5z2BuNIfBYmZmKsdDRJYuDtSkCBtky6W6NHlajF1tCHlrzPoNIV0vbyWLuFriP5qJ7rsfINr1c92JHlb+bQDc3dHChPLe8eKkjIwdzfU9zhYt6yHwtSEguiqPY0W7g5oE8u3dS9IysDC3aGKTaVpxBI9xbkazBxtsPJzB1Gk/W9z6RK2DP/JA8p1qh3ITSqXm5ucibXaUK612oG85Mxq06TfjqdebylgNXimPTYV7Fa38Ofl/Svw79+eS1/uLAuE+UmZqCrpUKkdyK8wpSc/KRMrOU3d3q3IT84i80bsA/Ou8v1WtCnvMWyqmObI+78QPH8E406vosvCERz/oPrpa6XYqB3ITTTMQxs3h4dcUb0MTUK5DE1SJpaV7tlS7YA2UbpnsURPcY4GM0fDBtvzmXZkXYkue4EDaPvpBHrtW4Znx8bkVbjPvKQH5MsDysHeT41Hu4Y89+d7DNm0ANfmfmXpbL1dGL57CXWfaYu5vZXB9dWVdcXpW5pq0gDUH96F+EOXqxy36dMZ7bV7KB3tKU4q9ztdcjqmbk5V0pdi/1xv8o6cf+D5ypi4OqFLLt9yXZfycPl2Q0PJPybLFwRc5own/cP1D9Xxb8QOpZsTxRXtSE5H6frgByzbIX3QHDsn/RAEnGePJ/2jbwzSKN2cary+msqjns3mDKNn2BI6rJuGYGMv3Ya9M/rMchvErDQU9oZloahTD4WDC7orZ6vYpHBWY/X2l6hmfozCywexgqz8xOrvvWIdrZjGwtkWrdzJo03NxsK56gt5FURwWTgF8yb1sRnWF5Dqk8njlgMgmJnh+ftqPDd8hqrSA7RK7UB+Bd9+3Bhbnd9VxERlTv3hXck8VT4Sq32M9rRYbk+t/N1BhLYb59F533L85LYnPyoFK393LL1dEJQK1H3bYOYh5YWZ2omiSj7xML+riCb8Frknr9Dw708wcbDBon4d6v++hJIcDUlHDEfws67H4t1X6ojx7tsGMxtLzBysce/aDBtfN3b3e4e/ey3AMcAX1/YNq+iyrJzniZkIytKXQwGlnSdKOw8Es2pG858QQakEfXlMr4066z8ihEQ53lqpHchPzmTo3qWMjvgSbVo22nTDzsCnbbNthvSh6HZUlRhbUz5RSk3Up2bnvyfg/A/kHLlI4V1penpln9NUsL8Uq8f0uQYvlLd1UX+fRacppPdPM3Ft35Aba3dRlJ0vxVj3any6Uow1d7TG0r38eOm9ldUXUaT7b3Pps2cx9UZ1e6x8MPLfwPhy+BAEQTADBgKbHpX2n2DX0h9K9BxpPoljbafhM/EZLOuWfwtLMFXi0rs1KX+drlG9pq72NFw9ldtvfmHQ01YTCCYKHNs35OLkLzgx6D3UfduU9ew+LXtnfUOL0T158e/FmFlbUFJc3oAlX7rHDz3nknzuNg2GdkZpbvrE8k0szGg5dSDnP95cI/f7OAS+1IMjizawvsMbHFm0gd4fvfav6X4abBt4ErhwOBdml6/dOTP5S8K6z+XQ4EVY2FtRt2vgQyQ8HIWJAnN7azYNfI8TS3+jz5dTAMhPzeaH9m+yse9Csm8n0OKtZzG1tnwqWwKnDUTU6YncesLguHn9OrjNHkvSwtVPJM9uUDcsAuqT8c2WRyf+B9gM6I55s/pkfSvVU/sR/ck/ehZdSu1/M7EmY4f1gO5YNKtP1neSHXYjBpB/9BwltWBH5foqmChQeTqRfu4O+3svJOPCHcyfG/94wgQBi+cnULBpXZVT4v1M8uaMIn/x6xT88TVK73pgVnPfQHucLE8Y/RYZK9ejOXEeuxEDsWjd7KHprft3x7xpfbK/L497Mb1fIuGFqaTMWYHznImYeLs/7a0/khYzhhB/4OI/XpskKJU4tG/IpdfXcGrgu7j1a4tTcDN09/O5NudbWq57gw5/vocmLq2s8/BpMKurxqKeNzd7TSP/0h20N6KIev1DFCpzfId0NkgbvuhX3Do2ol/YEtw6NiY/MROxRI971wDcuwbQb99S+oUtwa6eBzZ+6ie6D11WLCX3EyjJTUVp5QSK/9ZWEpXrrFunxtQb0ZXwpRvLD+pFtoQu4Je20zC1VmFb9/G+Cfo4bbZF2+bYDgkl968Dj33P/y98orQ+XWv/KlfbvYJNpwCs2jWpUR3Npw5EX6LnntzWubTwQ6/Xc2L2t8TsOEPjif2wruNSY/rCBi9md+hCDo36iAYv9wToUmPC/yX0tfz3X+W/FUX+e/QFwkVRrHYivyAI43v06DH9vffe89ilvUc/S38sPBwprDBKBFCQlImFpxOFSZnSBho2lhRn5qKeNYz0gxGIuhKK0nPIPncL2+Z+aGOkBdDOPVqQcyWaorT7WMpTuAuTMjH3KO/tMnOX5D4uSmtLmv0yn5gVv5EbfqfaNAVJWVh6lPd2Wbg7UZCUVSlNJpYeThTINpnaqCjKzKUgMZOM0zcpypSmpRRl5tFyzesUpucQcyUKG/dyuTZqR/KSDeXmJWdhXaGnuGKazHtJbH7xA0CaYurXvQUALUb3JHCE1CuVERGJhaM1Dg29SL8chZW7I5pKOjTJWVhVGDGxcnckPzkLWx9XbL1dGBa2rOz4kD1L2Nb/XbRp98vSu7euz6jdSwFIuRxpYJP1Y9hUMU2TocFlm9Pc3nmGnh9U3Tym1eieNB8u2Zd0ORIbD8M8zH3EVNTK5CZnofIsl6Fyd0Rb6Z61yVlYejiiLS1fWxVFmXkAWLo70um76Zydtpb8mPKNRDz7tMFP7h3MuJOAW4vy0T5r9wfkSzXlAJCXlMW93VKvbcqlSBBFLBxtqD+gPU3lss68FIm5gw22fmoyHlLWqgo6VJXS1Hs+GO+eLdnz/HKD61Tujnh9NYeEWZ9QHJuMiZM9pu7lfmeidqY4pepH0606tcD59ReIHjkHscKI6qPQpWZgoi5vlE3cqpev6tgSxwnDiR89C7FYmj5t0aIxlq2bYT9iAAqVBZiaoNdoSV/5vcG1/0bsKEnJwLSiHWpnSlKrvuxZdmyJ4/gRJIyZCRXssGjdDLsR/VGoLBFMTRA1WvIPnqrx+lqUmYdOU0DCLqmOxf91hoDxMwAQs9NROJbbIDi4oM+uUBYWlig8fLCa+ZF03s4R1ZRFaNa8gz7mDiZBfTDr0k+SpclD6VOfkuvSNFkrj+rvvWIdrZimID0HS1d7tKnZWLraU1jN9OrKlKRmoEvNQOlgR/6BE5gHNEIwUaKrrhw6tMRh/AgSXy4vh1IZALr4ZLTnLuPw6guYN2sAQMyFWKwqxKDHjbGV01TGpWU9bHxcMbe1Ql9UjKgXyTpzk+wLhnWttD0tb3uk9rQgKYPMUzcoltuetP2XsA3wIePYVVLDwkkNk6Zce7/UAytBmgpclJxRNooIkk9U53fVYd+nI/kXb2HVuiFF0UkUJaRh1bw+9/ecxrlNM6IqdDZpU7I5Om4VII2QevdrS3GOBhC4tvov7vxy0EB2g5d7lo20HHrxI7TJWVh5OFE67mXl4Ygob0KDXn6Z1usQiwsQTMyfKPYAKCxsUVhI005FXaH8gllYpqum6qx9Y286fDyOqK0n6PnHPPRAWkRkWX0qytEg6vU4VFpn+k/bbMfG3rgumkrSxIUo7G2x6RdSJsPEzfmpfMK8kT+6OMPp0TVRn/SaAklPdi4+X8xCl55NXESMgc+pKrSVpeQ/wufqPxdMnZ4t2fVCeVvnP7gTCYcvk5+QgbmTDWnnbuPY3E+KsUnV+HSlGFuYmYc2STpe8d5K60Lp/wszcojbcwGHpnXbAYaLLY38JzGOHD6cETxkSqkoiuv2798fEBQUlDG0YQcEUyXqwZ1I3XvBIF3a3gt4PC91mLgNaE/mcWntQUFCRtn6Q6XKHLtW9cm/m1h2nfrZziRvMxzNyL10Fws/d8zruCKYmuAyuDOZYed4HARTE5p8P5uUTUfKdiGsjuxL97DyU2NZxwXBVInH4I4khxnalBJ2AS/ZJvf+7UmX11OkHb6MbSNvlJZm8lpKUyJmrudoz3nc3XuBpkODpGta+lOYq6myLi4/NZuiPC3u8pz1pkODuCvrVpWucRIEOkwbRMQvUk9g1KGIsg1pks/fxtZHTV5cGq6t/CnK1aCppEOTmk1xnrZs0XuDYUFEh10g82Y8P7WYzK8dp/Nrx+nkJ2Wytc9CgxdDgKQLd9jQdwEb+i7g3t4LNJZtUreU9D3IJrVsU+OhQdyTbcpLycKrQ2MAvDs3JTs6uUp5hP+0n+/7LeD7fgu4E3aBZrI+jwfk4aNIiojE2leNylsqX+9BHUisVGcT94bjI5evV/92pMp11tRWRdDPM7mybCMZ526XpReUCuL+PMW+XvPZ3/dtFEoFVvILsVvLB5dDUZ4Wtwr5EinnS+Te83h1knpN7X3V0jTGzFzu/HWG3/stZGOfBaSG38Wmjgu5sam4tPKnKEdTNp2pFG1qNsW5Wlzksq43LIhY2VbPkEACJvVn/8srKSkoXzdmZqui108zSP3wB7QXpClu2su3MfPxxNTLDUxNsOvfhbwDZwx0WTTxw33JFOImLKIkw7DOPIqCK7cwreuBiack37ZfV/IPGfqoeWN/XN+bSuLk9yjJLJefPPtDonqMJqrnGNI+XE/ujgNVXgzh34kdBVdvYVrXs8wO674hVewwa+yP67vTSJryroEdKbM/IKbHS8T0GkP6R9+Qs+MAGZ9+R8HVWzVeXwESwy7i0knyPdegZugTpWlpJdG3ULh6IjirQWmCaduu6CJOlV+o1ZD31nPkzRtN3rzRlETeKHsxFKztKD7yN/mLJqH58n1QmmDSsAUAzo+oo85yHfUdFkScbF98WDh+zwcD4Pd8cNnxByFYmiOoLCm8egtTHy+sQjpQFBlXfTk08sfl3WkkVyoHha01mEozLxT2tli0bEr2T1vLNuOI3XsB/2FSDHqY3xVV8Dv/Cn73IHYPWcymtm9QmJpF/O9HuLfmTyy9XUipdF3q3vK2Rz2gPRlyWacduoxN4zoo5LbHsVNj8m4nSLbKUxtN7Kyo+3IvMn6T1oFqIu5g7uuOmbfkEw4Dgrm/r+pU4eooSkzDpkMzipIzULVqiHWnZhTcjce6cyA5dxMM0po7WoMg9fA2nTqQe78fASDpyGX8h3fBRGUOSNM1zZ1suf3Dfnb1WsCuXgvQpmQTHxaOr5znpfUIsQSECo9wggLB1KL8pfEJ0BfklG1qoy/ML3tRrMk6q/J0ouv6NzkxbS2XP97Krl4L2BK6gIQT12k0vCsA6g4NUZqZkHbJcMfuf9JmW3s40fubN0mZ9xHFMQmST9SRY5PJA2LTE/hE0b2q01hroj6hVICJEoWFGXHzvuRW3+nE7LlAvQo+V5z7gDLJM2zrYsIM27p9Yw3buvzEDNw7NSUtIhJbP3dc2jUkNzqFuoM6EB9muH49ISwcv+ekcq3Tvx0px6Vdn+PDwqk7qAMKMxOsvF2w8VWTcfEeSktzTKykWRNKS3PcuzYDeMiOaf9N9Ii1+vdfRRBreFrh/18QBMEKiAX8RFF81JNev/x7SX8LSgUJvx0i6rPt+M9+jpyISNL2XkBhbkqzNZOxDfChODuPyxM+RxuTilJlTtNVk6Td2ASBxI2Hif5yJyC9LAZfWMPxdtPQ5WqxFMp7Ah16tMRvkbQdfcpvB4lbtZW6s18g99I9MsPOY93CnybfzcbE3gp9QTFFadmEd52Oy9BgGnw2Gc2tsiWS3H7jC/KvRZON4TRM1x4taLpI+pRF3G+HubNqOw1nDyP7UhQpYZJNLde8jl0zH4qy8wifsBpNrNQr7zk0iPrTBiGKIqkHLnFj8a8A3DJT0mPxGHxDAinWFrFn5jpS5G3MR+9eyk99FwDgFuhL30/Gy599iODAOz8B0OqVUFqM7gnAnT3nObZCWp/XZEhn2r0+AH1xCYJeRJuWjZ2fO7qCIg6/tY50WcfQvUvZEirpcA70pdvK8SgtzIg7HMGJhT9VKdSRpz5la7+3KcjKw9LFjiG7FmNqbYmo11OsKeSnHnMoytPSbfEYfEIC0WmLCKtg06jdS9lQwabesk3RhyI4JNvk0bYBIe+9hEKpQFdYzMGFPxBXzRbVFem1eAx+XaU83DVzHclXJH1jdy3l+36SvpB5w2kyqBM2bvbkpmRzeeNhjn+2tUxG56BAWsifBojaeISbq3bQdNZQMiOiSAoLR2FuSrvVk3BoVpei7HxOT1xNfmwajd8cTKOpA8iLLB9MPzp8BTpNId22vy1tzKBUEHX8GgpTJXW7BlCsLeLAjHWkyvkyfM9SNvaR7tM10JeeK6V8iTkUwZG3pXxRmCrp8fF4XJrWoaSohBNLfiX+5HX8+7al/Yyh6HUlKPQimtRs7PzdKdEWceytdWXb4g8MW8qfvSUdToG+BH8qlXXCoQhOy2U99PgnKM1NKMiSRpjSwu9yau73NH9jEAFTBlASXd5RE/PyQiwD6uO2cDyCQkH25n2kf/k7Lm++iPbKHfIOnKHOT0uxaFgXXarUW1qcmEbchEUA+Gz8ADM/bxRWFpRk5ZI4bxX5x8IxMSufQmfVpS0u8yaAQkHO1jAyv96I09SXKLh6h/xDp/H8bjnm9X3QpUmjfbqkNBInv2dQN2wH98KiWX2DT1mkZJWvvauN2OHumGtwD6oubaXt4hUKcraFkfX1bzhOGU3BtdtoDp3G49sVmNX3oSRdtiMxlaQphnbYDO6FedMGZZ+ySGrZo0bra2FGDiovZ9qtniT1gGfkoNq5vGx9oEmztpgPn4QgKCg6sZeiXb9hPnA0JTG30UUYPlCqZn5EwaZ10qhhqyDMB42GkhLQ6yn882dMmrXBpGkb7mfIn7KQ62i/fUvZ1Uuqo46BvnT6TKqjiYciOLdAqqNmDtYEr52KlacT+Qnp0mcBsvOxcLGj7+7FmNpYgl5PcX4hO0Pm0MGvCPUqaZdihY0VCksL9Hn55GwLI3vdbzhMHk3htdtoDp/G/ZsVmDXwoaSsPknb85u3aILLO9Ok+YCCwP1ftpG7dW+ZvceyXGi/dAyeIYGUaIs4/hC/C6rgd2dkv6vTpw3tl4zGwtGGohwNmddi2DfqwzL5Tbs2o/mayQBEff039z7bTv3Zz3E/IpJUuT1tXqE9vSi3pwAeQ4PwnzYIgNT9F7kltz0t1k7FpkldAO6u3AK7y0fqbLu1xvPdV6VPD/x+gJQ1m1C/NRLNlbvk7DuLKrAevt/MQ2lnjVhYRHFaNjd7TpV2plw6Aet2TVE62iIoFRSnZKK9Fsmet36k2RuDyIyIIj4snDrPtKXFvBdAFEk9c4uz838oW6vd8NVQ6o0Mkcogv4ATU78ir8KMjFLaLhuDh9zOnJq+jl6/jEUwMUdp7YL0qW6BEu19xMLcKtfOencF5y5eJjs7BydHe15/9SWGDgitkq6U0k9ZZN9OrrE62+HjcXj3a0t+gjRaJ+pK2PzMOzg29qb/xnmY2Vgi6kVubTrG8XlS59bTtNldPhqHX9+2kCx1uIolJWSt+QmnORMRlIoa9YmcnPKp4zVRn0Qg93A4CYulT3qE623ouGQMXiGB6Aqktq70uWbw3qVsr5BHXeQ8ij8cwSk5j547/gkKMxMK5bYuNfwuJ+d9j4nKnC4rx2Nf3xMzawvpUxa5Wu5tPMK1z/8kcNZQMiKiSJBjbKfPJ+LYzIfC7DxOTFpDXqwUL5tOG4j/8K6IJXouvPMziYcuY13HhS7fvgmAYKIkettJWsx9vnwb0/8Rnqs7qFZfkjbF7PhP5onx5bCGCHMbXqsZWfHlsDao/HJYG9wye/zd1f4pNrU8iVvzL4y1F/4LocK/qHb9Ptmk9o2wruWybm/xZNN1/wkVXw5ri4ovh7VB5ZfD2uBi1pPtGvhPCO2f9uhET8Gffz/eOqqnoaNj7doA0sthbeKqq922DsDd/ME7B9cE13SPtzPo0/DC5UW1ruP3wNr9/ED+v9Ce9rSvfZ+o+HJYG4Tra78+WfwLC+BGJf7yn3wRehjD6g6s1YelzTF//ifzxDit1IgRI0aMGDFixIgRI0aMGDekMWLEiBEjRowYMWLEiJGK/Jd3FK1NjCOHRowYMWLEiBEjRowYMWLEOHJoxIgRI0aMGDFixIgRIxX5v7ovi/HlsIbIUdTuZivF+tpds5qjrP3NYpxqf+8NatsKy3/Bhpx/YTw/rZY3jBndPenRiZ6SA3vdalX+Hzr7WpUPEJxX+5tv3Bdq1yvis2t/s5ja3y4LftlTuxvGmP4Lfr0tp3Y3iwGo7W11RGp/f4aztbzBR4TZk39O4omp5c1ioPY3vbH0CK5V+QAJ9evVuo7INPtalW9R+49nRowYYHw5NGLEiBEjRowYMWLEiJEK/Je/RVibGF8OjRgxYsSIESNGjBgxYqQCxg1pjBgxYsSIESNGjBgxYsTI/1mMI4cPQBCE6cA4QASuAGNFUSx4QPI+occ+QlAqiPr1MLfW/GVwUmFmQtvPJ+EQ6ENRVh6nJ6xGE5+Oa5dmBCwYjsLUBH2xjsuLfiXtxHUAvAZ2oNEbgxCUCpL3XeT+8Ws0WTIaQakgbsMh7q3+s4qO5mtexy7Ql6KsPC6OX4U2Lh0AmyZ1CPjoVUysVYiinhOhC9EXFtNh69uofN0wc7IF4PpXf3P5w81V5Hb6fCKOAb4UZuVyfOIa8uMluU2nDMB/RAiiXs/5hT+RdOQKCnNTem1diNLMBMFESezfZ7ny8VYAGr/ci5azn8PcTkXW7XiOTV1LxtXoKpnpFOBD8KcTUFqYEX/wEmfe+RmANgtH4N2rJfoiHbkxqRx/ax1FORrMHawZtG8pKjcHCrPz2T/iAzKrkesY4ENnWW7CwUuck+Wa2VvR5aspWHu7kBeXxtGJqym6rwHArWNj2r7/IgoTJQWZuYQNWwrAwEMrsPV3R19cwp5Bi2pEn5mdik6fjEfl44rK2ZaSIh2FORoOvLWOtGrkuwT40HOlJD/m4CWOvSvJbzd9CE1GhqDNkD5OfvqDP4g5FIHCREn3D8fhEuCDQqmg4H4+Kmc7dNpCDry1jvQH6Oi+cgImso7jso6204fQeGQIBRV0xB6KwNzemj5fT8O2lS9Fx/dS8PNqAEwC2mIxajIoFBQf2UXh3xur6AIwaROM1dT3yHt3EiXRt8uOC46u2Cz/joLtP1K0e5NUNt0CCVws+UT0hkPcrsbv2qyehL3sE2cnfI4mLh2Hlv60/OhVWbDAzY+3kLj7PAD1xvfFZ1Q3RFGk/q04dsxah66wuExm3/dGU79bc4q1RWyf+TVJ1eRZ91nP0XxIMJZ2Vixr8mqV8437tuWFtW+yrv9CHK1VNFjyMoJSQeKGg8Ss3mGQVjAzoemaydgE+lGclcvV8asoiEtDMFXS6KPx2LbwQ9SL3F74A9knpdjhOqgjPm8+i6BQkL4vnISTN2o8n/zH9aHehL5YuNlTnKvl5te7uFGN3A6fT8IxwIfCrDxOTlxdFjuaTBmI34iuiHo9Fxb+RPKRKwA0fK0P/iOl/L9/M47T09ehLyymzWcTcOnYiOIcLSbWFghKBaKu5InirUMLP1p/NE62B65/srXMnlKC3n+Jut1b1KhPADg18iZkxSuYWVti6WJHUa6GYk0hR6avqzYGOgf40FWOHXEHL3FKjh2tZw6jbmgr0Ito03M48tbXaFKy8X+2E81f749eELB0sEZfoqfwfj67Z6wjtRr5bgE+9PlEsiHq0CUOyja4NK5Dr2VjMbWyICc+jb+nfUVRnhYLe2vG7F2KdQ3HWLeOjen23XTy4qQPlcfuOkfRhbs0WTIaczcHBIWANi6No11nG5Tvk7Z1bX+bi4WbPYJSSeaZmyS8/SMd33uROnJZH55efVk7B/gQ8qmUT7EHL3GytC2aOQyf0FaIcjkclsvBzMaS7p9P4hkvRxRKJfu/+YvTmw4D8Ny7Y2narSXF2kJ+mvklcdeiDHSZWpjx2pdv4VzXDX2JnisHLrDjg18B6P7qM3Qe3gO9rgRLOytEvR5FTgGnpq8j80r15dDxM+m+Ew5e4vzb5eUQvHYKVl4u5MencWyCVA4+z3ai6eT+IAjo8rWcmfsD2ddjAQGlnTuCIAAC+qJ89JqsKvoWLlvJ0RNncXSwZ/sva6ucfxI+XbmIvn26o9FqefXV6Vy8dLVKGlNTUz5ftYSuXTuh1+t5+50P2LZtF97eHnz/7Srs7G1RKhUsWLAccmPLrjNr2w6bKVNBqUD7999ofvvVQK7lgIFYDn4W9CWIWi05n3xMSUxM2XmFqytOP/xI/g8/oPnj97LjTt2a01CO4wkbDhJdTRxvtmYytnIcv1wax02UNFk5AZtAXwSlkqRNR4n+fDsAjT4ch+fwEBAg8cgVjoxZaSDzSZ/NVB6OdFw1EUsXO0RR5O4vh8i5l0SbxS8hKBRk34nH1s8dsURP4oFLXFyy8Yl1AAw68ym6vAL0ej2iroQ9fausjZ0BfAy4AOkPrw3/7xH/j04rNY4cVoMgCJ7ANKCNKIrNkPY5Gf6A5Ergi+OjPmRv19l4D+6ITQNPgwQ+I0Ioup/Pnk4zuL1uNwELRwBQlJnLidEfs6/7XM5NW0u71ZMAMHOwJvCdERx9fhn7QuZg7mZH4GcTODvyA44Ez8Tj2U5YV9LhPbIbxdn5HO4wnaivd9Ho7ZGSLUoFLb6YzJVZ33K06yxOP7sYfbHhJhhHgmfyR4NxePVqiW19D4Nz/iNCKMrO58/OM7j5zR5aLpSywba+B3UHdWBntzkcHPkhbZe/jKAQ0BcWc+C5ZezqtYBdvRbgERKIUyt/QHrLzrwWQ25cGmff20DH5S9Xm6Edl4/lxOz1bAmaga2vGs9ugQAkHr3C9u5z2dFrPjmRSQROGQCAW/tG5CdmcWr+DySfvE77B8jtsHwsp2avZ7ss10OW22zyAJKPX2d70EySj1+n2WRJrqmtivbLXubQyyv5s/tcjk6QXnQ8uzenOK+AXf3eRZOcVWP6AqYOIvNaDKeW/05WZDLZUSkcmvMtXZdVLz9k2VgOzl7PL8EzsPdVUycksOxcxPo9/N5nAb/3WUCM/IBar387FOYm/NZrHqc/+AOXpj78OWI5hx+io8uysRyevZ4NwTOwq6Tj8vo9/NFnAX/0WVD2EFxSWMyZjzdTsLHCA4KgwGL0NPI/mUfevFcw7dAdhUfdqsosLDHvPQTd3etVTlmOnITu8lkDmc2Xj+XEyA/Z12UWXs92qup3I6W6G9bxLe5+vZtmst/l3IzjUOhCDvacz8kRH9Dio1cRlAos1A74jwvlYOgCDoTMQaFU0GxAxzJ59bs1x9FXzeddZ/DXvG95ZsnYavPs9v6LfDOo+s0izKws6DC2D/HhdxEUAg1XvMKlkcs5HfwWbs92xqqSDR4ju1Ocnc+pDm8Q9/Uu6sl+7fliDwDOhMzi4vNLqP/eSyAImDhYU/+dF7k4bDFnus7E3M2eVp9OqNF8sm3khc+L3UAvsr/rbLJvxOH7XBds6xvK9ZNjx87OM7j1zW6ay3Jt63tSZ1AHdnWbw+GRH9Jm+VgEhYCl2oEGr4ayt+9Cdnefi6BQUHdQef5fXvQb+0MXAHB02NInjrc5t+I50Gch+3vN5/jID2n14SsIyvImsE635tj5qtkQPKNGfUJQKuj5+SSOz/2eM0t/I+NaDH8Ez+T4nG8JekDs6Lx8LMdmr+ePIEmHlxw7Lq/9m6295rM1dAGxBy7S6s1nAciNTWPnsCUcXb6RvOQs8lOyCJv7Lb2WVi+/59KxhM1Zz7ddZuDgo8ZXtiH0w3EcXfE7P/aex50952k74RkAvNs3Ijcpi/0LazbGAqSevcXO3gvY2XsBVz7fQdMVYzk78gMuvPwxBclZKMwM+7D/SVt38bVVHOs+l6NdZ2HmZEPbOc9j56tmY9AMjj6kHIKXj+Xo7PVslMvBW7YnYu3fbO41ny1yObSWy6HpmF5k3UlgWd/ZfDb8PYYuGI3SVEnTkJa4+qp5L2QaG+avY/jScdXq2//NXyzqMZ3lz8zGv3VDmoS0ACD+ejQrBsxl+we/UpCnJfrSXc7M/pZ2D7jvdivGcmbWenZ0noFNhXJoOkUqhz/lcmgqt6F5cWnsG7qEv3vM48qn2+nw4SuyJJGS+0noshPQZccjmFoimJhX0Te4Xy/WrlxS7b08CX37dKd+PV8aNQli0qQ5fLFmebXp5s+bRlpaBk2aBhMQGMLRo6fk42+wafNftG0XyqgXX2f158vKL1IosHnjTbLnzibj5TFY9OiBsq5hO1RwYD+Zr44l87VxaDb+hs3rkw3O27w+maIzZw2OoVDQaMUrXBy5nJPBb6GuJo57juyOLjufEx3eIObrXdSX66zbwA4ozE05HTKLM73n4vVSDyy8XbBqUgfPEd041XMOh+qPxa1jY9wrxBn4B89mOj3hi35lZ8gc9vZ/jwYv96T9R69yaNSHnJ33HepOTTg+cQ1/d5vL9a92/SMdpex/bim7ey2o7sXQG+gNxFY+YeS/hfHl8MGYAJaCIJgAKiDxAenaAXfzY9MQi0uI23Eaj9DWBgk8+rQm5o+jACTsPItrcFMAsq/GUJCSDUgPLkoLMxRmJljVcSUvMpkiuQdaE5uOWFKCNiYVsbiExO2ncOvTxkCHW5/WxMs6kv86g3NQMwCcQwLJvR5L7nXJF4uz8kAv9YSY2FhSkJiJNiYVfXEJMTtO413p3r1CWxG56RgAsTvP4hYk3bt3aGtidpxGX6QjPy6N3OgUnFpKL4E6TSEAClMlClMTSjteHBt7c+uXgwBkXI7CzM4KS1d7A32WrvaY2liSFn4PgLubj1NXtjXx6FXEEmkGeGr4PVTujtI9dgvk+rd7KSkspiDt/kPlpsty720+Th1Zrndoa+7JNt7bdAxv+bjfs52I3X2O/MQMAAoycsrS31i/l8LsPEoKimpMn10DT5JPXMe3d2uu/nwAW29ncuLSMLe1QlVJvsrVHjNrS1IuSvJvbjmOX6hhnaiMKIKppTmCUoFvaGsKc/IpytOScvEeZo+h49aW4/g+QodOW0jyuduIxeWjbUq/RuhTEhDTkqBER/GZQ5i26lTlWoshY6URxWLDnf5MWnVGn5ZESUK0gcz8qBQ0sZJPxG8/hXuluuse2obYP6R8Tth5BhfZJ0q0RWX1SGFhSsWOQUGpRGlhhqBUYGppTm5KeS95w16tidgiyYu/eBcLWxXWlfKs9Fxeana1+dN9xjCOr/0LXWERLg280EalUCD7dcr2kzj3aWuQ3qVPG5L+OAJA6l+ncZBtsGrgRdZxqUe9OD0HXU4+ti38sKzrhiYqiWI5dmhj0xBLSmo0n2zqe6KJTSUvMpn8qBRST14nPy4NryqxozVRm6SYFLfzLGo5dniFtia2QuzIi07BUY4dgkl5/istzdGmGI5SOLb0Jy86hX8Sbw3sMTcsdwDf3q25teU4QI36hHeXADJuxJF5I5a6vVtza+MRRL1Iariko7rYYWZtSaocO+5sPo6PrKM4T1uWzsTSvGyb9dQLdyi6r6Fe79Zc2nAAa3dHki7ew9zWCqtK8q1k+UmyDde2HKeeLN/BV038mZsAxBy7SoN+Un30CQkk/Lu96ApqNsZWxqmlP5qoZLQxqWQcv07K7nOYWFsapPknbZ1OzjfBRInCzASXQF9ub5bKOjX83gNjrGmFcrj9GOUgiiKmVtL9mqssyM/OQ6/TE9i7DWe2SvccffEOKhsrbF0M9RUXFHH71DUASopLiLsWhYPaSdJ96hrFBUUE9m7D2e3HsFc7kh5+77HKIWrz8bL89g5tTaTs65F/lJdD+vk7ZbNl0sPvlrWtEqWOIsgjiFVp0yIAO9un3wF2wIBQft4gzV46czYcO3s71Oqq++O+PGY4Kz6QOmtFUSQjI0v+N9jaWgNgZ2tLUlJK2TWmjRpTkphASVIS6HQUHDyIeecgA7miRlP2b8HC0iBGmHcOoiQpCV10pRHfRo3RRKWUPZ8lbz+JSzVxPLFCHHeU6yyiiFIltclKCzP0xTp0uRpcerWmKOM+mtsJ6AuKSb9wl0bjQg1kPumzWUFqNlnyKLMuvwBt2n0K0u+TF5tGvZHdifnrDJ7dmwNQKD/r/JPnv0fwKTCbKtH3v4sesVb//qsYXw6rQRTFBKRh71ggCbgvimLYA5J7AnGlP7RJmViqHQwSWKod0CZmSrJL9BTnaDBztDYU8kw7sq5Eoy/SkRedjLW/ByovZwSlAreQAANXKkjMwKKSDgt3RwoSMsp15GowdbTByt8dURRpt3EuQfuW4Vehx1ZhZoJVPXeCDiyn2ZuD0SRlYuluKFeldiC/0r2bO1pj6V5+HJCule9JUAj03beUoZe/JOnoFTLkhxBJVkbZNflJmajUVfVpkgzlVk4DUH94F+IPXa5WbnXXPEyupbMtWvlhXpuajaWzNM3Wxk+NmZ0VvTct4Jndi/EbFlQuqxb0ZV2PpU6/NlirHTC1MsfG0xlrd0fykjKxriTfWu1AXgX5ldMEjOnF8LBldP/4NcztVADc+/ssxdpCXrmwhgZDOnN76wkKs/MBqSysKumwqqSjcppmY3rxQtgyulXQUR2CgzNiZlrZb31mGoKD4ecPFHXro3B0QRdxxvBicwvMnxlOwfafqsjUVigDbVImlgYPNGDh7lCWptQnzBylBxiHlv70PPIhPQ99wKXZ3yKW6ClIzuLOV3/T98Jq+l3+koJcDfeOXSmTZ6t2JKeCzpzkTGzdqtbNB+HezAdbDyfuHLwEgJWTLQUV5BUmZmBeqQzM3R0prODXOtmvc6/H4BzaRhrxrOOCTaAf5h5OaKOSUfl7YOHtgqBU4NStuUHsqIl8yrkZh32gH4UZ91FamuHRvQWCUqgSOyzVDmgqxI4iOe5ZulfnP45ok7O4+dXfDDz3OYMvfUFxrqZsuilAs7nP0f6rKViqHcpGk5403jq29KfX4Q/ofWgF4XO+K3tZBLm+V4pPNeET9n5qRFGk7y+z8R/YAbd2DR6pI/8hOtrMfo4RZ1dR79lOXPh4i8G11moH3Jr6ECXHxtzkB8SO5HL5FdOk346nXm/pZbvBM+2xkeuKtdqB3KSaj3kALq3r0X/fUnr8PAvnlvUM/LowNRvB1HAf/3/S1gG02ziXXtfWossroKSo+LHaooeVQ9vZzzHq7CrqP9uJ83I5XPthH/b1PVh+9msW7P2Eze9/jyiK2Ls5kpVYPoMuKzkDe7WhH1bE0lZFQI/W3DxxxeC4vZsjdQP8uHb4knRPidXX/4rlUDGNRaVysKhQDqX4jwghUa4/pZjYe2LiVBd9kRZRV/jA+35aPD3UxMeV98MnxCfh6aE2SGNnJ93zovdmc/bMHjb+9jWurlJ7smjxJ4wcOYToyPP89edPvPHmwrLrFM7O6FNTy37r09JQOlf9DI/l4ME4/fIr1hMmkrt6FSC9KKpGjCT/xx+rpFc4O1P4iDheuc6WxvGUv85Qoimky+WvCQ7/gpivdqLLzkevKUBpZYGpgzUKSzOsvF2qlPM/eTYrxcrLGbv6Hty/nQCAjb8aM3srGo4LpeeWBTg29/vnOkSR7r/Npc+exdQb1a0sjVdoK4AEIKJKJhr5z2F8OawGQRAcgEGAL+ABWAmC8GJt6bNt4EnAwuGEz/4WgOL7Gi7O/Y4OX08lZPs7FGbk/uMPcSqUChzbN+Ti619wcuB7qPu1wUnuSY/6Zg/Jf5/l1MD3cW3fEJcKDy1Pg6gX2d1rAdtaT8OphT92Db1qRG4pgdMGIur0RG49UaNySynNaoVSgVOgLwdHf8z+kR8Q+OZgbPzUD7/4KfRdXfMXZrZWuLdviH/fdqRdizF4eH1crvy8n5+D3mJj6AI0qdl0fnsUAK4t/BBL9HzfZioJJ67jP7ADtnX+2XfRrv68nw1Bb/G7rKOTrOMfIQhYjpiIdmPVtSoWz46haO9mKHzQct9/RtbFe+zvOptDfRbSYNogFOammNpZ4d6nNXvavcGu5pMxszQn8NnONaJPEARCF44ibMmGGpGX9OshCpMyaBu2nAaLx3D/3G1EvR7d/XxuzVlPs3Vv0PrP9ylKz3mqj/hWl0+5dxJJ3HMet24t6PzrHLKuxZSN0DwNpnYqvEJb81f7N9necgomKnN8hkj5f3XZ7+wNnsWVZdI6mIaVHvwfl8yL99gXMocDfd+m0dSB0ghiDfEgn1CYKHFv24CDU78k+fwd3Ns3wqNz03+s5/yHm/it3Rvc3XaSJmN7GZyztLfGr3sLji6vfk3vo9g76xtajO7Ji38vxszagpJKSxBqitIqmXklmi3t3mRnrwXc/D6MZq8/849lPqytAzg7fAX7A19HYWaChcPTj3Kd+3ATG9q9wZ1tJ2kml4NXSAAZ12KY124Cy/vN4vlFr2JRaeTzcex45fM3OPTDbjLiUg3O2asdcfP3YP+6Px9w9ZNROTS4dWpMvRFdCV9qWH902QnoMmOlKaXKf+Orow/GxESJt7cHJ0+fp137Ppw+fYEPP5CmLw5/YTA//bQJH782DBg4mh9++BweMNr5ILTbt5Px4kjy1n2N1UujAbB6+WU0mzchFmgfcfWTYduyHmKJnqPNJ3Ks7VTqTuyPZV1XCpIyybseS6vfF9Dqt/nkJ6RXLax/iInKnOD1bxD5+1H0xdKHmxVKBaYqC2L/PsvFxb8R/PWUfyw/bPBidocu5NCoj2jwck9c2zdEaWlG06kDAWr/45w1jCiKtfr3X8W4IU319ASiRFFMAxAEYSvQCfilYiJBEMb36NFj+nvvveexT3OXXqp6WLpLPeAV0SZnYenhiDYpU5quZquiKDMPAEt3Rzp+N51z09aSH1PeECTtu0jSvosANFvwAvaNyl+wLDycKKikoyApEwtPJwpKddioKM7MRZuUSeapmxRnStPMUvdfwi7Al4xj18i9GYd7/3aU5BcQve0k9V7sTkJYuIFcTXIWVpXuvTAzD22SdLwUVTV2F+do0GkL6f7bHAoycki7FImVh1PZeSt3RzSVrtEkZxlMaVFVSlPv+WC8e7Yk6s8zDAyTNodJryS38jWPkqtNz8HS1V7q0Xa1L5s+qknKojDrMjptIf7PB2Nub02vX+eQdPQqKg+nsl7lmtDXcExP6su9bHf/OkP8yet0nPM892PTpNHDSvLzkrOwriC/Yhptek7Z8Wu/HqL/DzMA6DjneWy9XHhu5yLSIiJRmCpxCfQjJzYNK3dH8ivpyK+ko2Kaijqu/3qIfrKO6hCz0hEcy19CFY4uiFkV1qFbqFB4+WI9V1pwL9g5onpzMZrP3kbp1xjTNl2weH48gsoaUdRDcRElUXewbFZe5pbuUh2tSEFSFpYeTuV110ZFkewHpeTeSUSXX4BtIy+s6riiiU0tm859Y885Wo/oRqfXpAfWhMuR2FaoZ7ZqR3IqTXt8EGbWFrg29ObljVJPtrWLHS4NvdBFJpelMfdworBSGRQmZWLu6UShbIOJ7NcAd94pH01tvXMR2ntJAKSHhZMu+7H/whGoGnvXaD5lR0QRt+k41nXdODFiBQ3nv0BJoT3apKpxT1UhdpjJcU+blIWqir9mog5uRl5cGoWy7rhd53BuU5/orScokEc7NHHpFN/XlE1DfdJ4W9meprOG4tZVXtN8ORLrSvGpJnzCob4nZrYqntk4j7SISHT5BTgH+JB44toDdVg9QEdF7m47SZ+fZlKQnkOjkd1QWphi6WrPyU+3UpAt2WujfkDsqDBqVTFN5r0kNr/4AQCdpg/BxMKM0buXknw5Ehv3mo+xFadnJhyUBhRUdd3Kjpm72iPKD7Cl/JO2DqDu2F54v9gdM3trtJqCx2qLHrcc+v40k/OfbKXh81259IW0QVLjLi2wdrRhzp/LuXPmBg4ezsAtABzUTmQnZ1aRBTBy+QRSo5I59J207qvLS6F0HtEDCysLrOyt2f7Br+iKdICZ1DZXU/8rlkPFNAWVyqF0+iCAfWNvOnw8joMvfkRRlqG/ACDqEYu1KMxU6LX3q733f8KkiWN49VWpI+X8+Ut4eZfve+Dp5U5CYrJB+oyMLPLzNWzbJuXP5i07GTtWWgs3duxwnukv9eOfPnMBC3NzBDs7xOxs9OnpKFzLp6gqXFwoSX/wfigFBw9g8+Z0AEwbN8Gia1dsJkxAsLYGvYhYVIR2+zb06emYh5TXperieGmdrRzH3Wd1JuPgJURdCcXpOWSfu4Vtcz8KEjMo0RZxftB7AARse5e8OMN7/SfPZoKJkuD1bxC99STpF+4QMGOIJCspC01iBtqkLDIuRSLqRcwdbf6RjtL/F2bkELfnAk4t/Sm6n4+11BFdOmroBYQjLcsyLGAj/wmMI4fVEwt0EARBJUiT7HsANyonEkVx3f79+wOCgoIyBjXsiGCqxHtQB5L2XjBIl7Q3nLrPdwHAs387Uo9LjZWprYrOP8/kyrKNZJy7bXCNubyDqKmdCnVIcwSlEss6LgimSjwGdySlko6UvRfwknWoB7QnXdaRdugyNo29UVhK63icOjUm73YCglKBJiYVKz81Kl81nr1aYeXhRHyll8OEsHD8ngsGoE7/dqQclzYLiQ8Lp+6gDtLUVG8XbHzVZFy8h7mjDaa20nQqpYUpZjYqzs7+lt29FhC79wL15KmZToG+FOVoyqa4lKJNzaY4V4uLvIlNvWFBxMq2eoYEEjCpP/tfXsn19Xv4s/cC/uxtKNfCxY7ih8h1luX6DwsiTpYbHxaOv2yj/3PBZcfj9l7AtV1DBKWCu78fRZOSxcExnxC79wL+sj6lhVmN6Lv14372DlvKrmfeIXLvBdpMGUjimZs41vegKFeDppJ8TWo2RXla3OSH5EZDg4gKk+RXXDvj16cNGbfiAYg5GEH8yevSJjWHL+MS6Ef23UTcWvo/lo6GD9Dh26cNmbKO6iiJuonSzRPBWQ1KE0zbd6P44skKmZVP7pQh5M4cRe7MUZTcu47ms7cpib5N/rI3y44Xhm2hcOevFO3fQUnUTaz91Khkn/Aa3JGksEp+F3aBOs9L+ezZvz1pJySfUNVxKduIxNLLGZt6Hmji0tHEp+PYuj5KSzPJrs5NubbrLGv7zWdtv/ncDDtP86GSPK+W9SjM1T5wbWFlCnO1fNhyIp8FvclnQW8Sf/Euv778MWYudljINrgN7kT6XsPdM9P3nsf9+a4AuA7oQJbs1wpLMxQqaWMIxy4BiDo9+fIUIVN5qpiJnRVO3VogKJU1mk8Amvg0rP3UOLZtgHe/tlj7uBFfSW5CWDi+z0kxybt/O1Lke48Pu0CdSrEj8+I9NAkZOLeqV5b/6qCm3L8rTTGzkOtb1qVIbPzd0SRmPHG8VXmX26OS7bn15U7295rP/l7zidp7gYZDJb+uSZ84uXgDuXHp7Bj0PjH7wvHo3ISs2wm4tpJ0VBc7ivK0uMqxo/6wIGJkHba+5S9OPqGtyL6XxPUf97N37EoEpZJTq7bjExwAgHtLfwpzNeRXkp8vy3eXbWg6NIi7pTbI7Q6CgF0dFw68/SM/9V3A3b0XaDq05mOshYtd2fVOLfwQdSWovJ3L2jrX3q3L1guW8qRtnVJljrmrPTHf7+NE7wVkXbhD0umbNJBjeGk5VFfWxRXKocGwIKKrKYe6cjkA5CWk4ymvy7q4+zQFuVo+Hvo2l8PO0n6IdM8+LeujzdWQk2aoD2DAjBewtFGxedEPZceO/ryXn2d9CcDW5b/QvLe0ns25lf9D29DScvCtVA5+sq/7PV9eDipPJ7quf5MT09aSW6HDCkEh/Uk/EMwsEXXl68lrgq/W/kibtr1p07Y3f/65l5dGDQOgfbtW5NzPITk5tco1O//eR0hXad16925B3LhxB4C42AS6d5PKtVGjelhYmCNmZwNQfPMmSk8vFGo1mJhg0b07hScNZx8pPcs3kjHr0JGSBMmHs96YSvqI4aSPGI5m82byN/yCdvu2MrkqP3VZHFcP7kRapTietvc8HhXieKZcZwsS0svWkStU5ti1qk/+3URyLt7Dqp4HFnVcsKzrikvr+lxbYzha/KTPZgAdPhlHzp1Ebq7bTcalSGx81Vh5u5CwLxzP3q2IDwvHxk+NwsyEwszcJ9ahtDTHxMpCyktLc9y7NiP7ZjzZN+PZEjgZwEf+iwda8T/wYqiv5b//KsJ/eVjz/yWCILwPvADogIvAOFEUHzTZvl/uvaS/BaWC6I1HuLlqB01mDSUrIoqksHAU5qa0Wz0J+2Z1KcrO58zE1eTHptHozcE0mjqAvMjyRdPHhq+gMCOHdl9Oxr6ptJPW9ZVbUeRoaCJvRx//22HufradBrOHkR0RRereCyjMTWmx5nVsA3wozs4jfMJqtPJIpOfQIPynDQJEUvdf4ubiX1GqzOm4/R1MHayxUDugKyjmxld/c3XVDgJnDSUjIooE+d47fT4Rx2Y+FGbncWLSGvJipfVjTacNxH94V8QSPRfe+ZnEQ5exb+xNx1UTEBQKBIVAzF9nuPrpdgD8X+1N67nPY6IyR9TpiTtwiYOvfgrAwLCl/Nlb2onQKdCX4E/HS9uhH4rg9EJphGTo8U9QmptQIPdqpoXf5dTc7wEYdfMbTFXmIFD2yYn7dxLpH7aUnRXkdvp0vLS996EIzspyzR2s6bJ2KlaeTuTHp3Nk4mqK5LV4TSc+g/8LXRD1eu7+dpgb6/cCMPjYx1jLD88FGTlcXP4HdzceeSp9zq3rEfTZBEpEUJgoEBQKivMLODBjHamXpUXwL+xZyu99JPmugb70WCnJjzkUwdG3Jfk9P5uIS9O6iKJIbnw6h+Z+hyY1G1OVOT0+GY9DfU8EQaAwJx+Vix06bREHZ6wjTdbx/J6l/CHrcAn0pbusI/ZQBMdkHT0+m4hz07ogiuTEp3NE1gHw4slPsXYwRzAxRdTkkf/RHBTObuWfsji6m8K/fsX82Zcpib6F7uIpA2eymvsJBRu/NviUBYD54NGIhdqyT1lc1YUSuOglBKWCmN8Oc2vVDhrPHkb2pcgyv2uz5vUyvzs7YTWa2FS8hwXRcOpAaSdDvciNldtI2iM15o1nDcVrYEf0JSVEX4/hzznfUFJUPrWu3+KXqdc1kGJtETtmfk3iFSnPJu5axtp+8wHoNW8EAYM6YeNmT25KNuEbD3H4s60Gtry8cQFhS3+lna0VDRaPAaWCpN8OE/3ZNvxmP0dORCTpsl83WTMFG9mvr05YRUFMKhbeLrTYOB/0IoXJmdyYvpaC0i3G107DpokUO6JWbuF+XmGN51OX7e+g8nbG3NmOoqw8bv+wj+uf7yBg1lAyK8SOjp9PwkGWe2KSFPcAmkwbhN/wroglJYS/8wtJ8s6ezWYOpe7ADuh1JWRdjeHszG/QF+no8cd8qcNMkDaGsvJwAkF4onhbZ1gQDacMQCwuQRT13Fi5jcQ95S+WqSYCwUvGUCcksMZ9osGznWk9eQCiKKLXlWBmbYmuoIgjb60jXdYxZO9Stsq7sToH+tJV1hF3OIKTcuzouW4adn7S2rq8+HSOz/seTXIWwR+Nw7dvW+4npGPt7oiZlQVZUcnsmbmOFFn+6N1L+amvJN8t0Je+n4yXP2URwQF5FLrVK6G0GN0TgDt7znNsRfl2/VOvSTFWqMEY2/DlXjQc3QN9SQklBcWcf38DTlYWNFk8Ggs3B0RElOamlBQUkfD7Ua4t+PGJ2zozFzva/jwLhbkpgkIg48R1whZtoPP7L+EVEoiuoIjDFcph6N6lbKlQDt1WSm1R3OEITsj29Fo3DfsK5XBULgeVmz0hKyegcLNDECDsqx2c3S5t6PHColdp0rU5Rdoifp71JbFXIgGYt+tDlvebjb3akWWn15J8N55iOeYc+XEPJ38/yLRfFuLRsA7307KxVztiZmGGJiZN+pSFfN/99i1lVy/pvh0Dfen0mXTfiYciOLdAum8zB2uCS8shIV36lEV2Ph0+Hod3v7bS9EVA1JWwu+87vHBtBSY2pbM+BPSFeei12VRm1rsrOHfxMtnZOTg52vP6qy8xdEBolXSVsfQIrnLs81VLCe0dgkarZdy4t7gQLq1/PH8ujDZtewNQp44nP37/OXb2tqSnZfLqa9OJi0ukceP6fP3VR1hZWyGKIvPmLeEHbfkaRrP27bGZPBUUCgp27yJ/wy9YjX0F3a2bFJ48ic2UqZi1bo2o0yHm5pHz+WeUREcb3J/VmJcRtVqDT1kkuvehweIx0ieJfjtM1Gfb8JfjeJocx5tViONXJqxCG5OKUmVO01WvS7ubCgKJGw8T86U08tzhyEdY+bkDELnlJGdmfPNUz2Yu7RrQe/s7ZF2PLZvOGLfrHL5DOiOYKCnO1aIwUWDuYMOtH/ZxbdWOJ9ZhXceFLt++KdUWEyXR205y7fPyl9pRib+UzvGNBtrwP/Api1DvvrX6krQ3bveTzXv+lzC+HNYQm91H1WpGWuprt48hW6l8dKKnpOhfcIHat6L2yfkXxvNrW8Wo7km1rAEO7HV7dKKn4LJ57VfY4ILaWdNVkftC7XpFoaL288n0X2imUk1q145/w4b7/0LscC15dJqnwUlXywqAeNPa9YkIk6JHJ3pKOhWZ1bqOFy4vqlX51b0c1jQJnevVuo7L12t+L4KKpP4/XudZU1R4Ofyfobd3n1qN3GFxe/6TeWKcVmrEiBEjRowYMWLEiBEjRowb0hgxYsSIESNGjBgxYsRIRf7L3yKsTYwjh0aMGDFixIgRI0aMGDFixDhyWFPEmdbutOHUWl/Xo8dHV7t9BX7FNbvLWXXEm9Tu3HybGvie26Nw/RfW3KSa1K7rLzhS9ePCNU2vRyd5KloWiiSY1q5PXK3B7+w9CEUtV1mzf6Fj9d9oqCz/ha3jdLUcxmt7PSCAspbL+4xl7fdZm9fyXgvNdbW/HjD/X+jar+01gdrEY7UqH2BKmzm1riPArHbjuP2/4Nf6/+TKt//3/Jf3ZREEwRH4HWkH2GjgeVEUq/2+liAItsB1YLsoio/8kKXx5dAIQK2/GBox8r9Gbb8YGvm/x2vxvzw60VPwk+eLtSrfiBEjRoz8Z5gLHBBFcYUgCHPl3w/qDVkMHH1cwcanHyNGjBgxYsSIESNGjBipgB6xVv+ekkHAj/K/fwQGV5dIEITWgBsQ9riCjS+HRowYMWLEiBEjRowYMfK/g5soiqXfDUtGegE0QBAEBfAJMPNJBBunlRoxYsSIESNGjBgxYsRIBcRa3q1UEITxwPgKh9aJoriuwvn9QHUf0lxQ8YcoiqIgCNXd7OvALlEU4wXh8ReWGl8OH4AgCG8ArwEC8I0oip89LHnI+y/h260FxdpCwmasI/VqdJVErgE+hH4yARMLM6IOXeLwuz8D4NKkDj2WvYLS3BSxpIQDC34gJSKSRoM70WZSfwRBID9fy/aF35F8IxaAAe+OpmG3FhRpi9g8cy2J16rq6z3zeVoOCcbSzor3mr5icC7gmfb0eHMoiJB0I4Yzk78CoNOil6jTvQU6bSGHp68jvRo7nAN8CPlUsiP24CVOviPZ0WbmMHxCWyHqRbTpORx+62s0KdmY2akI+WQ8bo29MXdzoCg9h/gfwohevcMwE81MaLZmMraBfhRn5XJ5/CoK4tIQTJQ0WTkBm0BfBKWSpE1Hif58OwB1JvTDc2R3APJuxJI0Yz1tFgzHS7bh+PR1ZFRjg1OAD8GfTkBpYUb8wUucKbVh4Qi8e7VEX6QjNyaV42+toyhHg7mDNd3WTcOluR/Rvx/l0gJpJN+tWyAtFr2EoFQQ9ethbq35y0CPwsyEtp9PwiHQh6KsPE5PWI0mPh2HFn60/micbDhc/2QribvPS/nbrTmNl4wBpYL4DQeJWv1nlXwKXDMZ20BfirPyiBi/Cm1cGu5DO+P7+oCydDZN6nCy5zxyr8WgHtQR/zcHY652RFAoyEvM4MT0dWRWkzeOAT50lvMm4eAlzsl5Y2ZvRZevpmDt7UJeXBpHJ66m6L5GyoeOjWn7/osoTJQUZOZydsR7uPq588qaN8vkqut5UpCn5X5KFj/P/Ir4a1EGek0tzHj1y+k413VDLNFz5cAF/vzgNwC6v/oMHYd3R68rIS8zh19mr8W1jjcBi0eDUkHshkPcqSbvW62ehJ2cT+cmfI42Lr3svKWnE92PfsTNj7dw76u/AfAb14e6L3YDQeDyb4e4/O1egt5/ibpyfTrwVvU+4RLgQ/eVkk/EHLzEcdm3204fQuORIRRk5AJw+oM/iD0Ugbm9NX2+lurT/ZgUTFUW6OTYkfaA2NFLjh3Rhy5xRJbf94spOPi5A2Buq6IwR8OvfcvbDBsPJ1488AHp12JQudqj0xay/63qdbgE+NCzgg1HZR0AgS/3InBML/QleqIPXuLkso00GNyJVhOfobS5cWpSh/zETApz8msudthY0v3zSVh7OqFQKrny9S7u/HGUDotewlsuk6MP8fEusq64g5c4LetqNXMYdWVdBek5HJV1AbRf9NI/jh0+/dvR4q0h2Nf34K9n3iXjslS/FaZKOn3wKs6BvlVk1TQD9i2rMb9uOvEZfId0AsDUVoW1lzN5cWnE7TqPOrhpmVybOq5cXrkV55b+OAb4UpiVy/GJa8iPl3yt6ZQB+I8IQdTrOb/wJ5KOXAGg0Wt98B8ZAqJI9s14Tk1fh76wmKGfvY5ngC8luhISIu7x5/zv6LNgFPW7NadYW8S2mV+TVE1712Pmc7QYEoyFnRVLm75adrzFsC6EzhtBToq0T8OZH8O4tvGwwbW93xuNvyx/58yvSa4m/0JmPUeALP+jJuXy243rS4vh3dDrStBk5rBz1jcQmwE8XXtaSuD4vnR8ZxQ/BkykICuPur1b0XbWMES9iMrVHr2uhMLsvBqTX+/ZTrR4vT8IAoFZKUyeOo/Ll68D8OnKRfTt0x2NVsurr07n4qWrVfSZmpry+aoldO3aCb1ez9vvfMC2bbvw9vbg+29XYWdvi1KpYMGC5VWufRgLl63k6ImzODrYs/2XtU90bUVeeHcszbq1okhbyA8zvyCumnZowpczcKnrhr5Ez+UDF9j2wQaDNC37tGfi2pksGzCHmCuRAARXaiceFmOVcow9JsfYdtOH0GRkCNoK7YQoigS//xJWLlLcLky7z/l3fiHl1A1Aat86fT4RJ9nnjlXyuXqyz52r4HMdVr6GV88WFKTnsLP7PADaLH4J7z5tMHe0Jj8xk+I8LWfm/0DGpciy+36a2CEoFdjV9+SPwEml4qKBXKAE0AFtnrAI/3+F/CK47iHnez7onCAIKYIguIuimCQIgjuQWk2yjkCwIAivA9aAmSAIeaIozn3YfRmnlVaDIAjNkF4M2wHNgf6CINR7yCV97X3UfN9lBvvnfkv3pS9Xm6jH0rHsm7Oe77vMwN5HjU9IIADB80dw+rOtbOi7gJOfbCF4/ggA7selsen5Jfzcex4HV29jyHLpZaJhSAucfNV8HPIW2+avZ/DSV6rVd+NAOF8OervKcScfNSGvD2Lt0Pf5rPdsdi6SHN27e3PsfNVsDJrB0TnfErS8ejuCl4/l6Oz1bAyagZ2vGu9ukh0Ra/9mc6/5bAldQOyBi7R+81kAWk0dRMb1GBBFLr70IZroZNTPdsaqgaeBXM+R3dFl53OiwxvEfL2L+m+PBMBtYAcU5qacDpnFmd5z8XqpBxbeLpirHagzri9nQudxqutMUChoNfc5bH3VbAmawck539LxATZ0XD6WE7PXsyVoBra+ajxlGxKPXmF797ns6DWfnMgkAqdIL1slBcWEf7iZy4t+LReiEGi57GWOj/qQvV1n4z24IzaVbPIZEULR/Xz2dJrB7XW7CVgolW3OrXgO9FnI/l7zOT7yQ1p9+AqCUgEKgSYrXuH8yBUcD56BezX55DWyG8XZeRzr8CbRX/9NAzmfkrac4GSPuZzsMZfLU75AG5tG7rUYTB2safjOKO59vp37F++Ruvc8t389RPsH5E2H5WM5NXs92+W88ZDzptnkASQfv872oJkkH79Os8lS3pjaqmi/7GUOvbySP7vP5eiE1QCkRiaxot8cVvSbw18fbwTggwHz+G3+Nwxf+mq1ug98s5MlPd5ixTNz8GvdkCYhLQCIux7NhwPmsbzvbC7uPsPgeaMIXD6WUyM/5GCXWXg+26lK3tcZGUJRdj4HOr7Fva9301TO+1Kavf8iKQcjyn7bNPKi7ovdONr3bQ53n0vdHi1pNLwrdr5qNgTP4PCcb+m6rPo867JsLIdnr2dDsOQTdWTfBri8fg9/9FnAH30WEHtI0ldSWMyZjzdzY9NRzG2t+LHLDA48JHZ0WzqWA3PW86McO+rK8ndPXsOvfRfwa98F3N19jrt7zhlcF/zOKNKuRWPhaMPPwTM4OOdbQh5gQ7dlYzk4ez0/B8/A3rdch2fHxvj1bs2vofP5tedcLn69C4Db20+ysc8CtoQu4MaGg+i0RWxo/0aNxo6mY3qRdSeB7b0XsOu5pbR/ZyR1erXE1lfNpqAZHJ/zLZ0eoKvz8rEcn72eTXI99pJ1XVn7N9t6zWe7rKuFrMure/Onih1ZN+M5+Noqkk/fMkjfYGQ3ALb3nFetvJrk1Jxva8yvr639m529F/B3n4WYmJuSduEOO7rMwj24KSde/4LdvRawJ3QhOm0hJhZmFGXn82fnGdz8Zg8tFw4HwLa+B3UHdWBntzkcHPkhbZe/jKAQsFQ70PDV3uzp+zZ/d5+HoFDgM6gDAJe3n+DzHrP4InQuJhZm9H3nRZx81awKmcGf879lwNKx1dp368BFvh70TrXnru48zVf95vNVv/mE/37Y4Jx/t+Y4+qr5qusMds37lj5Lqpd/e/9Fvq9Gfsq1GL7rv5D1feZxc9dZesyT4szTtqcAVu6OeHUJIDe+vFMr4fg1Nveaz9kP/uB+VDLF+QU1Kj83No0/hy1hc895LF32GWu//ACAvn26U7+eL42aBDFp0hy+WFP9y938edNIS8ugSdNgAgJDOHr0lHz8DTZt/ou27UIZ9eLrrP58WbXXP4jB/XqxduWSJ7qmMs1CWuLq687bIVP5Zf7XjFr6WrXpwr75k3d7vMmSZ2bj37ohTeV2CMDcyoIeY/sRefF22bG63Zpj76vml+AZHHpIOxEix9hf5BhbsZ2IWL+H3/ss4Pc+C4g9cpmuS8Zwe9sJ7u09T2Hafc7M/5FW744EefSn3gipfdvReQY3KvicXX0PfAZ14K9uczgw8kPayT4HEPn7UQ6O+qhMp0f35tj4qrl/N5HwFX9QdD+fiI+30HqBYVv5T2PHzt4LuLjiD1JO36AoO7+iyG5AC/4HXgz1olirf0/Jn8AY+d9jgB2VE4iiOEoUxTqiKPogTS396VEvhmB8OXwQjYEzoihqRFHUAUeAIQ9JP+jGluMAJF+8h7mtFVau9gYJrFztMbO2JPniPQBubDmOf6jkF6IoYmZjCYC5jYp8uYcz6cIdCuWRmdjwu9iqHaWb692ai1ulLaDjLt7FwkaFjYuhvtJzuWnZVY63Hd6NUz+FUZAjOWt+Rg4APr1bc3uzZEdquGSHqpIdKld7TK0tSQ2X7Li9+Tg+sh3FedqydCaW5mVbANvX90STeh9NVApZR69g6eVM2r4LuPRpayDbpU8bEv84Iun/6zSOQc2QMwilyhxBqUBpYYa+WIcuV8oXQalAYWEmnVOZYefnzl3ZhrTwe5jZWWFZyQZLV3tMbSxJk224u/k4dftINiQevYpYoi/LA5W7lOc6bSGp525TUlD+OQ7Hlv7kRaeQH5uGWFxC3I7TeIS2NtDl0ac1MX9IG0Ql7DyLq9zjXqItKtOjMDeldOaCY0t/NFHJaGNSEYtLSN5+Erc+hvHTrU8bEmWZKX+dwSmoKZVxf7YzSdtPSvbWdUUTlYxTp6YkbjpKxtGr2Nf3fGjepMt5c2/zcerI+r1DW3Nvk1Tv7m06hrd83O/ZTsTuPkd+otRbXiDXp4oEv9ibjPg0shLSib54B0sbK2wr1dnigiLunLom5U9xCXHXorCX6/ydU9coLigCIPriHdz8PcmPSkETK+VTwvZTqCvlvXtoG+L+kO43cecZnEvrE6Du04b82DRyb8WXHbOp70lW+N2yskk8c5MmI7pxS/btlIv3MHuAT5hZW5Ii+/atLcfxDX14m6fTFpJ87jaODb3IupcIlMeOB8mvLnZUpH7/9tzecarst1/v1uTEpmFiYU7qlagyGx6mI6WCDj9ZR8BLPbnw5V/oi3QAaKsp38YjuxF/VOqdrsnYIYoiplZSbDSxsqAwOx/vHi0Nfdz2AfXYupKPP0AXsq46oa2fKnbcv5tIzr0kKmPfwJOkE9eqHK8N0h9x30/i16U4tfRHFEXu/X4UfXEJMTtO4y37mltwU/JiUnFp35BIWUbszrO4yTHJO7Q1MTtOoy/SkR+XRm50Ck4t/QEQTJQo5dhtYmmGRm737hwu77BJiLiHd6v6XJLbu3i5vbOupr2Lv3iXvGrau0fRoFdrLm+R48TFu1jYqrCulH+l5/JSq8qPOXUdnRybEi7exUZuM562PQXo9N6LnF66sayOAug0hWXy449eAVGsUfkpF+6UzQg5fSYcT09pZsKAAaH8vGEzAGfOhmNnb4da7VolP14eM5wVH0gdhKIokpGRJf8bbG2tAbCztSUpKaXKtQ+jTYsA7GxtnuiayjTv3ZbTW6VnjKiHtEO3y9ohHbHXonBQO5WdHzRjOHvW7qC4sPxZwLd3a25WaCceJ8berBBjK+PWwp/70SlYOtsRf+wq0TtO49a+IUX3NTg1l2YgeIW2MvA5texzXqGtiX6Az6WeuUVhVl6ZHu/Q1kRtPg6iSEFqNmZ2Vlh5OqNNKf8awtPEDgDfQR2J3n6qyvH/FcRa/ntKVgC9BEG4A/SUfyMIQhtBENY/jWDjy2H1XEUahnUSBEEF9AO8H5LeMzcpo+xHXnIm1moHgwTWagfykjOrTXPk/V8Inj+CcadX0WXhCI5/8HsVBW1fCOG23GjauTmQnVgu635yJraV9D0MZz93nH3dmbD5XSZte58GXaVeICu1Q9kDPkB+UiaqSnJVagfykzIN0lhVSNN29nOMOruK+s924vzHWwDIvB5L3Z4tKUzMwLalPxZeLugLizGvJNvC3ZGCBEm/WKJHl6vB1NGGlL/OUKIppMvlrwkO/4KYr3aiy86nMDmL6K92Ehz+JV0uf40uR3roexwbNBVs0FSTBqD+8C7EH7r8wHy0VDuiTSjXpU3KxLKSHEu1A1q5rMQSPcU5GswcpQbSsaU/vQ5/QO9DKwif8x1iiV6SWeH+CxIzMZdfkEoxdy/XK+WTFlNHw0bTfVBHkradkOyLSsHK3x2Vr5qC5Cxc+7ZB5eFYrd0PyxtLZ1u08sORNjUbS2dbAGz81JjZWdF70wKe2b0Yv2FBVfLKs1Edrh28WPY7Ozmj7MWvOixtVQT0aM2tE1WnLXV8vhvJd+IN8kmblImFu6E8C3eHsjSl9cnM0Qalypz6UwZwS66fpeTcjMOpfSNMHaxRWppRt1tzVC525FWqT1aV8sxK7UDeQ3yi2ZhevBC2jG4fv4a5ncrwHm2tKM4vKPv9pLGjFI92DdGk3yc7WnrgMlWZ02ZSf858thUzawuKcjTl1yc9QMcDbLD3U+PRriHP/fkeQzYtwLW5H5Wx83Mnavc5g+trInZc+2Ef9vU9GHFhDUP2L+f0Oz9LciqUieYBZVJZV8X7aT37OV44u4p6z3YiXNZVWe7TxI6KZF6Pxbt3K2lmwL9ATfl1KdbeLpjbWxOz61zZtZbu0rU+8oOflHeGcc7c0RpL9/LjZdeqHdAmZ3Hjq10MPreKIZfWUJSrIfmIoa8rTJQ0fzYIXWEx9yuUS84TtncATfq25fXdy3nhyzewrRQnbNSO5FSSb+P2ZPJLafFCCPfkdvpp29O6vVuRn5xFpryUpCI+fdpQ79lOBE7ox5EZ39S4/FJeGTucPXsPAeDpoSY+LrHsXEJ8Ep4ehkuh7OykurPovdmcPbOHjb99jaur9M3bRYs/YeTIIURHnuevP3/ijTcXPlBvbWHv5khmhTLJTs7A4RHtUGCP1tw8IXV8eTf1xcHdiauHwg3SWasdDNqJx4mxldMEjOnF8LBldP/4Nez91OQmZpJxPRbfXq3QpmRhW98Dp0AfVB7Si6pK7YCmGp9TuZcfh4fHKEu5jp5/5xdaLxyBtZczLWYOIXx5+TPo08QOpYUZHiGBZbFDRkTaNfMChmvtjDwhoihmiKLYQxTF+qIo9hRFMVM+fl4UxXHVpP/hcb5xCMaXw2oRRfEG8AFSBd4DXEKaH22AIAjjBUE4f+jQoaCrmvjKpx+bwJd6cGTRBtZ3eIMjizbQ+yPDqQ5eHRvT5oUQ9qz47R/rqIhSqcDZV803w5ewceoanl3+Gma2qkdf+Bic+3ATG9q9wZ1tJ2k2VvpM+cUv/sLE0hyXvm3xfrUPuVeiEZ/gY/K2Leshlug52nwix9pOpe7E/ljWdcXEzgrXPm043nYKR5tPRKkyf+SD2uMSOG0gok5P5NYTNSKvOjIv3mNfyBwO9H2bRlMHSiOINYBdq3qUaAvJuynVSd39fK7N+RbbQF+arBiLNi6tbNTyaSjtbFYoFTgF+nJw9MfsH/kBgW8OxtXXvSyd0lSJjbNdWW/so1AoFbz8+TQO/7CHjDjDKfRtBwdRJ9CfK/vO/+P7bjRrKPfW7aJE7oEvJe9OInfW/EWnjfPo8Osc0uWp0E/D1Z/3syHoLX4PXYAmNZtOb496KnkPouGgjtyqMGrYfvoQLn67h+JKNv4TFCYKzO2t2TTwPU4s/Y0+Xxq2La4t/RH1enJj055KT3WxwyskgIxrMfzWegrbQhfQccloFCbKp9IDcOHDTfze7g3ubjtJY1lXbXFn4xE0SZkM2L24VvXUFJWrvHNzX7Tp9ytPC0NhqsSzdyti/zrzxDrM7FR4hbZiR/vpbG05FROVOT5DOhuk6b94LDFnb6KtpPdJubU/nJVBb/Jl33ncO36FIZ9MfCp5D6LZs51xD/Dj9Nc7n1qWiYUZLacO5PzHm6s9H73nPEmnbnBuxR+0mTWsxuUDeHRqzNixI5g3//Gnf5qYKPH29uDk6fO0a9+H06cv8OEH0lTc4S8M5qefNuHj14YBA0fzww+fP/F9/5solArGff4mh37YRXpcKoIg8NzbY9i89Kca13Xl5/38HPQWG+V2ouGwYACu/36EvORMAmcNw7V9Q9LO30HUP33bXZkGY3pw7r0NpJ67zbV1e+j0SfXTbR9F5djh3bslqedvV44dQUAroC8wGejyj5T9S/zHP2VRaxg3pHkAoih+C3wLIAjCMqDy299kURRLPWiTdsv1cbeuSQ9n1mpH8pKzDBLnJWdhXaGHqmKaJkODyzanub3zDD0/KH/hd27kTa8Px3Fh+3Fe/XU+APERkdh7OBIjp7FTO5JTSd/DuJ+cSdyle+h1JTTs1gJLWxXP7nyfpNM3sfIonz5h5e6IppJcTXIWVhV6Xq3cHcmvRvfdbSfp+9NMzn+yleI8Lec++IOg6c9ybcoXBJ1bjcJESWGl6wqSMrHwdKIwKVOaamSjojgzF/dZnck4eAlRV0Jxeg7Z525h29wPUQRtbCpuAzvi9WIPTOytKdAUPpYNqgo2qCqlqfd8MN49W7Ln+YcvmNcmZ2LpWa7L0t0RbSVd2uQsLD0c0co2mdqqKMrMM0iTeycRXX4Bdo28JJkV7t/Cw5HCCqNGAIVJkt7yfLKkODO37Lz74E4kbZOmlNYZ2xuvF6UNe5L/Ok3m8WsorS1BlKaEPEneaNNzsHS1l3oIXe3Lpo9qkrIozLqMTluITltIyumbeDauS6OgADqN6IGFjYrcjBzMrczL5NqrnciuZFcpI5aPJy0qmcPf7TI43rBzAKFThvDZC+/hUtfNIJ8s3R0pSDKUV5CUhaWHEwUV6lNRZi4OLevhoWdaQQAA2PNJREFU0b89Td8eiamtClEvoi8sJuq7MGJ/O4zSwpS6o7rh16ct96NTsK5UnyrX9/zkLKwf4BPa9PIpmNd/PUS/H2bQbExPmoyQ1qEV5GowtbIoS/OksQOkqdX1+rTlt2fK1xf7h7ahxdhQQj+bBIg0GhZM1p1ELv+4D2v3B+h4gA15SVnck0cFUy5Fgihi4WhD/QHtaTqiG9ZqB7LvJtVK7Gj4fFcuffEXjcf0pOHIblg42pBxI9ZAl+oBZVJZV+X7Kc27wEn9qdu7NemXIp86dlSHWKLn7HvShhZjE355aNqaoLp7+id+XYpjgC/F9zUG12qTsvDo3pysK9EUpOdIZVspzhVm5qFNko4bXJuchTq4GXlxaRTKcStu13lc2tQnWu6MG/XdTOq2aUhWfBoJEZHYVSgX2yds77TZ5fH2wsZD9J47gtaje9FyuOSDiZcjsa0kPzfl8eUD+HRuSucpg7i8+Rhjty9CCaRFPF59qs4nbH1csfV2YVjYsrLjQ/Ys4fpPB/AfKK3NTIuIpCA7H9s6rlg4WNeI/G3930Wbdh/Hxt50+XAcn/+ygbC90ijS+fOX8PL2KJPl6eVOQmKygb6MjCzy8zVs2ybF7s1bdjJ2rLQWbuzY4TzT/0UATp+5gIW5OQgiiDX/slORkJdCCRoh7ekRHXEXRw8n7snn7NVOZD2gHXpx+QRSo5I4ILdD5taWeDbw5q2N7wHg4ObInK1LSY9LJf30LYN24nFibMU0FduJa78eov7ADoi6EsQSPcff34CYKp336t2SXHnquiY5q2wGUEWf0yRJx0upHA98hwVh4+NGv31LyZBjnt9zwZx952dazn2eyE3HCJg6sCz908QOn4HVTilNkP+fCmxD2tvjsT/ObuTfwThy+AAEQXCV/18Hab3hr5WSfIG0oLYFsL3xUGkqnbqlP0W5GvIrrU3IT82mKE+LWp773XhoEPfCLgCQl5KFV4fGAHh3bkp2tBRwbTycGLDuTfa8uZb9n25hdb/5rO43n+th52k5ROpZ8m5Zj4JcbbVrCx/E9bDz+Mn6Lu88jTZHw/aB7xO95wIN5CmBrq0kOzSV7NCkZlOcp8W1lWRHg2FBRMt22PqWf2KlbmgrsuUgZmarIv16DCo/NT7TBpF19hau/dqRttdw9Cdt73k8nu8q6R/Qgczj0khTQUI6DvJ6MYXKHLtW9cm/m0hBQjp2reqTuPEwp3vMIevENVJO36CebINLK3+KcjRl0x5K0aZmU5yrxUW2od6wIGL3SjZ4hgQSMKk/+19eSYm8juRBZF2KxNpXjcrbBcFUifegDiTJckpJ2htO3eeljjHP/u1IlW1SebuUTTNTeTljU8+D/Lg0si5FovJTY1lHkqke3InUSjJT917AQ5bpNqA9GccrjMgJAuqBHcrWG8Z+H8bJHnM5/8IyUnefx3NkN+q83Iv0iEiKH5I3znLe+A8LIk7WHx8Wjv9zUr3zfy647Hjc3gu4tmtYtibUuaU/yXcTOPpzGCv6zSHm0l0u7TpNuyHSPfu0rI82V0NONXW2/4wXsLRRsWXRjwbHvZr6MHzZOL4e9yF5GTnERNzDyk+NSs4nz8EdSQ4zzKfksAt4Py/dr0f/9qTL676OD17EvrZvsK/tG9z7Zg+3P99B1HfSt2HNnG2J+n4fZ8Z8QuH9fC5/t5eGsm+7tXywTxTlaXGTfbvh0CCi5HupuO7Et08bMm/Fc/XH/WUb1KReicbBX3rgUrf0p/Ah8ivGjsgKttYJakbmvUSDqac/dpnBmnr/H3vvHR1V9f1/v2Ymk957r3RIINQAARK6SFOwgAUQBRQsgIAKKiIINpQiIh/sAqKIoEgJJfROSOglnfReZ5Jp9/njDpOZJDQhfv09zpuVtZh7z937nL3P3qfvM56VzcaT/NcpqnJLOPf97rsugzGP1F2n8e/RBgDnEG+kcgtqSio5//0efn5oHjq1hks/7W0S31GVXYRfdFsuf7+HnU99iKpKSdrW4yY2rq68RT2uMrXxjEZ4qSsV3NibKAan2XXmvnzHrSCzthTPNv4DcO8Y9sDsGkDuYINLqwDk9jbYB3gglcsIGhFFVlwCQSPrOn7ZcQmE6mkEDu1K/uFLBtpBI6KQWlpgF+CBQ4g3xWdTqM4uxr1jM2Q2lgB4R7elPFnsM3Z8IgYbJzs+6vISXw55iytxp+mgb+/89e3dvZwtND6f2GpAJwpTcjjzw27WDnmLtUPe4lrcaSJG6f1EZDNqK5WNni28FbzaBjFk8UR+mfgpx778k7VDxMBK99OellzJ4ocOU1nffTrru0+nOreEzYPnkfjFn+yevNxAv934AcisLHAM8Xog9JWF5dj7ujHwf68R/+pq3lvwKZ27DKRzl4H88ccunnlKXKXs1rUjFeUV5OU1DI647a/dxPQRI1X2jY3m8uXrANzIzKZvrCiPVq2aYW1t1eQDQ4D9P+5i4ZBZLBwyi8S4U0Q9KvYxQm7TDo2Y+SQ2Drb8suA7w7OaSgUzO05kbvRU5kZPJfnMVT58dC7v9H2V1F1naHWP7USrW7QToYM7k38uFadgb1ya+WLpaEvwiChqSirRaXSUXxe39mbdxuaCG7G5m0jbdJjK9Hy2D5hL1s4zhIyORplfSotn+6GuUODUwo/KtLpB//34Dq+oVtzYZbIF1w5wMPr/QMRjXP9a/FdXDiXC/UfL+f8lJBLJIcANUAMzBEHYe7vkid/v1gXHRKBRqoh7fQ35+jDmT+1YxDp9aHmviBAGfjpJH44+ifh3xO0Jvl1aEDP/GaQyKZpaNfvmfUfB+XT6f/g8zYd0oSKrCI1EQKfR8cVwcZ/+8AXjadGnPWplLZtmfUW2PuDEy9s/YMUQcYVx8Btj6DCiBw5eLlTml3Jq4372fi6er3l43tM07xOBoNUR/8VWKn4XtwZFLxyHf0wEmhoV+2esoUhfjlG7FvHbILEc7hEhxC6dhMzakhv7kzgyTyzHgDWv4BzqgyAIVGUVcfDNb1HkleLVsRkxn0/G2toSC0c71CUVZK/bR9rnvxM2+zEqklIp3HUGqZWcdiun4RAejLqsivOTl6HMKEBma0XbZS+JUTslEnJ+3k/GKvHagtBZj+E9ojuCVkfF+TR2z/6Gru8+hV9MBFqlikMz1hhCyg+PW8QfA8UyuEWE0OszsQzZ8Ukc15dh1OFPkVlZUKM/tF2YkMyxN74FYPTxz7Cyt0FqaYGqXMGhMUuw83envf4qi/SfD3Bl2VbazBpFaVIauXEJSK3kdF3xIs7tglCVVXNiygqqMwsJHB1Ny2nDENRaBEHH5aW/k7NTdKzBseG0fn8cEpmUrA3xpH6+hWazH6PcSE4RK6ca5JQ0eTnKDLGRdu3RhhbzxnB8iGmU2varX8ahTRCWns4IGg2KokqOGslmaNwithnJpsdnYj3Njk/ipF42Vi729F79MnZ+blRnFXFgygrDdpG2Ux4m7IneCDodyRv28/334tYqSxsr3j/6Be/2fpnhs8bQuo8YLv6nWV+SqQ8B/sb2D1kyZA7O3q4sPP4lecnZaFTiYf8D3+/i2MZ9TPtpHr4tAwwNeWl2EVXf7SNcL/vMDfu5tmwrrWaPpiwxlTy97DuufAmndkGoy6o5PXkFikzTzkzL10ehqa4xXGURveUdLF3t0am17H9/PdlHLtJr4TgC9ba9b+YaCvUye3znIn4ZLMrMIyKEvktFmWXGJ3HobVFm/T6fgnvbIBAEKrKKOPDGN4ZOw9NHP8PSwQa5nTUSiYTyzAJ2vrKKAj39sTsWGa6l8IwIYYDed2TEJ7H/nbqtTQM+nUTe2WTO/7SPxhD12qME9G6HnYcTaqWKvTPXGHg8uXMRPw+u49F/aR2PA/oySOUy+n0yCY+2gWhVWo4sXE/WUbEj4hfVmp5vPsGW4fObxHfYejkTs3Qydl7OSICkVdtI2XyE7ka8DhnxGrlrEVuMePXW88ran8QxPa++9Xgd0fOSChC1aNzf9h2BgzsTtfBZrF0dUFUoKLmYQdxTH2Hv787A9XMQdDqcm5tG1H3QKL1844HaddjjvfCNiSB102G6vPc0EqmUlJ8PcOV/uxh9YRXHZ/yPjK3HkVrJ6bF8Cq7tgqktq+LIiyup0m8zbvvKcMKe7IOg1XHmnR/J0Z/jDn/9UYL0KySlFzI4/vpadCoNT2Z+T3l2EbX6s7iXd57Czt2J5n0ixKssZn1Fjr69e3H7B3ypb+8GvjGG8BE9cPBypjK/jISN8cR/vpn+s5+gVf+O6LRalGXV/DnvGyqTTQMHDXp/PGF6+tte/4pcPf3nt3/AWj39vm+Ooa0R/cSf4zn0+WbGrnsTj5YBhgnh8pwi4id8Btxfe2qMscc+Y/OQt6kpraL9S0NpMSoanUaLrYcTgk5HTVn1A6Pf++PnCX2oC5XZRWRpqtBoNER1HwLA8mWLGDQwBoVSyfPPz+BMgqjL06fi6NxlIACBgX58/+1ynJwdKSosYeIL07lxI4fWrZvz1ZcfY2dvhyAIvPnmQv74YdHtqrMJZr27hFNnz1FWVoGbqzMvTXyGUcMG3fG7aZ3nmPwes2AibfuI14B9P+sLw1UU87Z/zMIhs3D2duXD41+Rm5yFRh+EK/77HRzZaOpfZ/w8n98W/UDG+VTCtVb0XjiOIH07Yexjn9i5iI1GPrafkY89qPex/T+fgkfbIARBoDKriPg3vsGjbRC9F47D3scVdXk1pZdvUH41i7zDl8jSt289jWzusJHNtTOyudNGNhe9aipe3Vtj5WqPsrCCc5/+hmt4MAGDO2HpZE91brHYT3nrO3p8+sID8R2HXvrCILNns38KQ1wtBHHn4nrg7ivB/wG6+8U26SDpWHb83V8++A/CPDh8QPgs8OkmFWSBtGln2II1Tb+IHKpW3znRfSLL4sGc27sVHO7hrOTfhb2uwfHWB44Ci6bdUX5S3vS6HlBz/2fPbodsedPbhPofaBakTVxlLf+BJuSfOP/Q1HKCpt9W+oPf001KH0DWxHK6+g9UKKsmZuGu/Vf29+4ZUwvim5S+MudQk9KHhoPDpkC4tml3Bjg3fZcA3T9QZZ/N/un/OcOI8o1pUm9xPGf/v1Im5m2lZphhhhlmmGGGGWaYYYYZZpgD0phhhhlmmGGGGWaYYYYZZhjj33wusClhXjk0wwwzzDDDDDPMMMMMM8www7xy+KDQTa1sUvqC0LTbksuFpq8KlZKmPSMGTb9vPtei6beH2/4DurBt4rOTHz7ftGc/AdauaXIWBKma9qxvoPz+7nC7G7SadutLnh8Edn52/3cp3glW/8DZ+B69c++c6D5w4ZA7h7zv/U66e8EjoxV3TnSf2Lq5aevTcE3T24S1paZJ6e8UnJuUPsAjjvd3r+jdILt5syal/0+cB1x5+sMm55HYfmaT0r8osWtS+vDP+Nj/FyGYVw7NMMMMM8y4iaYeGJphhhlmmGGGGWb822BeOTTDDDPMMMMMM8wwwwwzzDDCf/VGB/PKoRlmmGGGGWaYYYYZZphhhhn/7ZVDiUTyDTAUKBAEoZ3+2WPAfKA10FUQhNP3Stc5tgMhC54DmZSC9XvJXvm7yXvHqDYEL5iAXesgrk1ZSvFfx03ey+xt6HBgGSU7T5I2d22j9EPfnwAyKfnr9pK9cks9+q0JWTABuzZBXJ3yGcXbRPpW/u60+mY2SCVI5Rbkfr2DvB/iDN+5x7anzULx8vUb6/aRuuIPE7pSSwsiVk7FKSIEdWkVZyctQ3lDPPfg0CaQdh8/j4W9DQgCRwbNRVerxmdEd8JeG4lEKqXsWhbObYLEC+PXxXNt5Z8N6Hde8SLOESGoSqs4OXk5ihtFuESGEfnxRDGRRMKVT34jZ4eolkGnlqGpUiJodQhaHZsffoeoBc8Q0LcDGmUtB6evofhCegMZuoUH0/uzyVhYW3JjXyLH3/kRgC7zxhDYPxKdWkNFRgGHZqxBVaEg7JEehE95mJsbDd3bBFKVW0JteTV7ZqyhsBEeHuHB9F8q8sjYl8jBd380vIsYP4CIcQPQaXWk70vk6Ac/i/lqFUD/Jc/hGOqN3M6a8tQ8Dr721QMpg1Quo+eSibi3D0FuY4nUwgKdSk3Khv1cbkQXUctfxDU8mNrSKo5OWUF1VhGWLvZEr3kV1w6hpP1ykDNzvzd803fTXGy8nNHWqLF2g5r1H4KiAgBZaASWg54BiRRN4n7UR035WUT0wrLfGHSVpQBoTu9Gk7hfVLmjG1ZDn0fi6AoC1Pz8MUJ5EQB93nuG4FhR13EzG9eDZ3gwAz4V5ZQen8gBvR4e+mIaLqE+AFg52lJboTBcOu/eKoDeHzyHlZcz1p7O1OSWkP7TPq43IqeORnX2tL7O3oSNnxv9Dn7MlU9+I/nLv7AP86HLVy8b3tsHeZLz6XoKv/4Tx5hI/Oe/ADIpxRt2k7/qNxNe9t3a4P/u89i0DiZt6ieUbT8qPu8ejv+7zxnSWYf5kzbtE8p3nWggC2lIOyz7jQWpFE3SQTQntpu8l7XriWXsEwh6PagT9qI9dxAAecxjyMLag0SCNu0i6r3rDd95xUYQ8f6zD9S25Y62dFz6Ao4tA7CwsQRAp9ZwY108KY34pvYrX8JJT1/0TaIeHNoEEv7xRCzsbREEHUcGzQOphE7/ew3bYE8ErUD+7jNw8LMG8gKw6NAV2wnTQCqjdu9f1G5Z32g6ebfe2L++gIo5k9GmXm00jTFc9H5cIpOSt24vWY348TC9H78y5TOK9H7crm0wzT58AZmDLWh1ZC77jaKtRxvQl7XuhPXoySCVoj66C9XuX29Rvp7YPD+X6o9eRZd5HaQyrJ96FWlAMyRObkgQ0JUVU/PjUnRZKQ2+dw0Ppvvnon1l70vk9NuifVk629Fr9TTs/D2ozirk0OQVqMrFM5Gd338GP72PPjZ9DSXn07Hzc6PPN9OxlgpILGQUfPsXtVkFBL73PMikFG3YjX2nVlgFenGx/6uAaBMB8ydi2zqY1KmfUPrXMUO+LH3dCfp4Gpa+biDA9WffR5VVcFud2PfuiM87k0AqpfSXOIpWbzJ57zZxJC6PDwStFk1JBdmzP0edc+uzf33fe4YQvX/aMXMNBY34J6/wYAbr/VNafCL79P7Jo3UgAz6YgNzOmoqsQv565UtUVWJsA/dWAfh99BZSezsEnY6S5d/iNvMFJDIZFb/toOzrX0x4OD37KI6jBiNotWhLyil8eymaXFEWoUnbUV0X86XJLSDv5fmNlsWyS1ccpr0MMinKv/5CscHUDmyGDcdm5COg0yIolVR8+gnajAzDe6mnJ27ffU/1d9+h+GXjLWX2xLsTaBfbEZWylu9e/4IbF9NM3sutLZm8aiYeQV7otDrO7T3D7x+uM0kTObgbU1a/zgfD7u1M47wPlnLwyElcXZzZ8tPqe/r2JhxjIglcMBGJVErhhj3kfbHZ5L19tzYEvvcctq2DSXnpU5M62zlzE8ormQDUZheSPGGx4V3XBc/gr7eZw9PXUHKLPkH0Z5ORWVuStS+Rk/o+QdDQrnSY8SjOzX3Z9vC7FJ8TZRo+bRjtZzyCRCKhtriS4698Sf6RSwZ6t+oHALSZNpzQMX0QdDrOzPuBvAPnAWgxcRBhT8UikUhIWRfP1bU7AWg381GAbOCmwbwFmDZA/0L8V6OV/qcHh8B3wErgB6NnF4BHga/+FkWplNAPXuDiEwtQ5RYTseNDSuJOobyWZUhSm1VI8qsr8X1xeKMkAuaMoeL4pUbfIZUSuvh5Lj6+AFVuCe13LqEk7rQp/ewirr/6BX4vmdJX5ZdxbuhbCCoNUltrIg8spWTXKVT5pSCV0HbJc5x8fBE1OcX03PUBBbvOUHUt2/C9/9hYNGVVHIh6DZ+R3Wn59lgSJy1DIpPS/oupJE39gspLmchd7NGpNchd7Gn1zlMcGfgmqtIqBlz/hsTZ35D153Fidy4kNy6BSiP6wWNjUJVVE9d9Bv4jutNu3hhOTl5BxZUbxA+ah6DVYe3pTN99i8mNS0DQikO1Q6MWoSqpFPM4MBLHEG9+jZ6JR8cweiwez5/D5jcQY8/FEzg8ey2FCSkM/HEW/rERZMWfI+fgeU4v3oig1dHlrSdoP20Ypz7YSMrvR0n5/SgKCYQ/24+e88byXbdX8YoMI+aD8fw6vCGP2A8msG/2WvLPpjD8h1kExUSQsf8cft1bEzqwE+sHvYVOpcHGzREAiUzKwOUvcu2nfQT0j+TAy1/iFOb9wMrQcmwsAFsGvsXjR5airlSwa/A8Bv61gOxdCVRcr9NF6BhRF9t6ziRwRBTt543h6JQVaGvUnPv4V5xbBuDUyr9Bno5NXUXJuTSGv2QUuEciwfKhcdSsW4JQUYL1xAVorp1BKMox+VZz6TiqXT9QH1YjpqA6vBVd2gWQW4F+m0dwbHucg735vvdMvCPD6LtoPBtHNKKHRRPYO2cteWdTGPF9nR52TF1pSNNr3lhqKxUGPQxa9iKJL39Jt7WvcWDou1ReyyJm+/vk1auzQWNjUJdVs6f7DPxGdKfNvDGcnrzC8L7de0+Tvy/J8LsqJZf4/m+JP6QSHk5cSfnO4yCVErBwMtfHvos6t5iW2z6hfPdJaq7fMHyryi4iY8YyPCc/YlK+qmPnuTJ4OgAyZ3vaHlpNxYGzDeSARILlgGeo3fgJQmUJ1uPeQZuciFBcTw+XT6LeY3pZu9SvGVK/5tR887aok6feQhrQEt2NqyCV0H7xBA4/vhhlbvEDs+2Ihc+Svy+JE5OWM+joUs48t5Sqa9lE71pEfj3fFDA2FnVZNfujpuMzsjut3h7L2UnLkcikdPhiKon1fJPUSk7ql9soPnIJiVxG1KZ5WFR0RZN40lRmUim2E1+l6v3X0ZUU4rB4NerTR9BlZZims7bBasgoNNdu4bfrQyolbPHzXHh8AbW5JXTQ+3FFPT9+9dUv8K/nx3XKWq6+vIKatDwsvVyIjPuI0vhEtBVGwWgkUqwffwnFyrkIZUXYzvoczfnj6PJumNDCygZ5zAi0aVcMjyw69gILObVbvsEydiRSTz9q//oJ6yenofhkeoOidF0ygROz1lKUkELsT7PwjY0gJ/4cbacNI+/wJS6u/JO204bRdtowzi7aiG/f9jiEeLO150zcO4bRdfF4dg6dj7KgjJ3D5tNCU4bU1pq2e5eDBK4+/jbq3GLaHVyF8lqmCW9VdhHpM5bjNXlkg3yFLHuN3OW/UnEoCamtNejucIZYKsX3vRdJe3YemrxiQrd8RuWeE9Qm18ms5mIKKSOmI9TU4vrUQ3i/MYEbr3zUKLmQ2Pa4BHvzde+Z+ESGMWDReNY14p/6L5pA3Jy15J5NYdT3swiJiSBt/zkGffQ8+xeuJ+vEFdo93psukx/myKebkMikPLzsRQrnLUZ1NRWpixP+65eR88IbaPKK8N+4gur446hT62RVezmFrCdeRqipxfGJobjNfJ781z8AQKhVkTX6pTvKxuHV1yibNRNtYSGuq7+i9ugRk8Ffzd49KP8UJ22sevTA4aWplM2ZbXjv8NJUVCdONiBtjHYxkXiG+PB2zMuERDbnqUUvsGTkWw3Sxf3vD64du4hMbsH0de/QNqYDF/cnirztrOk3YQipZ6/dvkyNYOSQAYwdNZy33v/knr8FQColaNEkro2Zjyq3mDbbP6Is7iQ11+vsWpVdSNr0FXhPGdHgc12NiosDZzR47te3PY4h3mzW92u6Lx7PX430CaIWT+Covk/Q/8dZ+MVGkB1/jrIrWcS/sIweS+omESVSCa3G9Wfn6EWUnE9n5N7FdF81lS3tpxrS3Kof4Njcj8ARUWyPnYONlwuxG9/kr+iZODb3I+ypWOIefgedSkPM+jlk7zlLVXr+TZKfAX9TuGb8k/hPbysVBOEgUFLv2WVBEO487XsL2Ec2Q5meR21mPoJaQ9HWw7gO6mKSpjarEMXlDGgkYqRdRCiW7k6UHUhq8A7AIbIZNWl51GYWIKg1FG450pD+DZG+UK8xFNQaBJUYpU1qZYFEUteBd+7YDEVaHsqMAgS1ltwtR/Ea3Nnke6/Bncn6RVxFyPvzBO7RbQFwj4mg8lImlZfExkhdWgU6AdsgT6rT8lAVV4r0bxTi1rUFglpL1pZj+AzqZELfZ1BnMn85BED2thN4RLcDQKtUGQaCUms5t5vICRrYieRNhwEoTEjB0tEOG09nkzQ2ns7I7W0oTBBnwZM3HSZokFjW7IMXDLwKElKw9WkYma/tmFgy9bNk+WdTsHK0w7YeD1tPZyztbcg/K/K4/NthQvU8wp/pz5lVf6LT60JZLK6uBfYOp+jyDVxbB5K86TC1ZVUUnEl+YGVwbu5H7tGLeHQIozIll5rCcpzbBJK59Tj+9XThP6gTab+Kur6x7STeel1rlbUUnbyGtlZ9Cw00hNQ3DF1JPkJZIei0aC8ex6JFpzt/CEjcfUEqFQeGAOpa0KgACB3Yicu/ibrOu4Me8oz0EDbItF4DNB/ajWtbxRncIL0eZFaWVKXlU3E+HaFWQ9aWY3jXk5O3UZ3NMaqzAD6DO6PILKTyahaNwaNXO2oz8lBlF2LXoTm16Xmo9H6j9I9DOA3sapJelVWA8koGCLfu5DoP6UFFfAJCjarBO6lPKEJZAUK5qAfN5ZPImkfekpYJBAGJhRxkFiCTg1SGoF8Vdo1sRnVaPorMggdm2xYONrhHtSJ9/X5cI0XfVHkxE0GtJWfLsUZ8U6d6vkmkfyvfpFOqKNbPkAtqLeXn05C6eTQotqxZK3R52egKckGjQX1kH5adezZIZ/PkRGq2bkBQN5R7Y7jpx2vuwo/XH9QoU3OpScsDQJVfiqqoHLl+gukmpMEt0BXlIBTngVaDJuEgFhHdG+TDaugzqHb/iqAxyrcgILG0xqJ9d9RnD4FWgzb5PBIbOySOLqbl9nRG7mBDkd4PpW06TIBeNwGDOpGq13nqL4dMnqfpfXRRQgqWTqJ/06m1Bp8osZQjsZajulGAKjMfidwCEKhJNZ3IUGUVoGykLbVu7g8yKRWHxHZUp6hB14hNmJSlfQtqM3JR3xBtsHzbQRwGRJmkqT5+HqFGjM6rOHsVC2/3W9JrNrATF/X+KVfvn+zq+Sc7vX/K1funi78dppneP7mEeJN1Qhy0Zxy6QIshYv0I7h1O4eUbqK6mAiAP9EWdmY0mKw80Gqp27Meur6mua04lGfJdk3QZmdet890Y5K1ao83JRpsr2kHNvn1Y9Yw2SSMo6iYnJNY2Ju20Vc9otLm5aNJNVwHro/3ALhzffACAtLPXsXGww9HD2SSNukbFtWMXAdCqNWReTMPF283wfsTMJ9m5eivqe2ijbqJzh3CcHB3u+bubsItsTm16rqH/V7L1MC6D6vvxwkbr7O0QOKgTKcb9GqfG+wSWDnV9gpRNhwnU21x5cg4VKabRmN0jwyi7lk1RQgo6tZa0jYeQ29sgtaxbM7pVP8B/UCcytx5Hp9JQfaOQqvR8XCPDcGzuS/HZFINfLzh2mYAhpn7t/zUIgtCkf/9W/KcHh00BK29XVNl128pUuSVYGjmu20IiIfjdcaQv+P6WSSx9XFHlGNMvxqqRAcwtv/d1o8O+T+l85iuyvtgqrhoC1t6u1OQUG9Ipc0qw8jala+3jSk22mEbQ6lBXKpG7OmAX5gMCdPn5TXruXkzo1GEAVKflYxfmg02ABza+bljYWWPjK8pCmVuCjU99+i4oc4zpK7B0FR21S2QY/Q98RP/4D0mc/bWhQ4kgEP3zG8TuWkTw032x9Xah2qgcitwS7LxNOzR23i5U59bNCVTnlmBbLw1Aiyd6kxV/rsFz51AfUnaeMvyuyi3Bvt739t4uVNXjcTMfzqHe+HZtyWN/zOfRX+fi2T7U8BxBIOihzkTOeJTwFx9+oGUouZxJ4ICO2Pm5oSqvxjUiBFtfNxS5Jdj41Ov0ebugyBHpC1odqgoFlq72DejXR7fPJjN49wfIo0cankkcXBAq6vIqVJYgcWiYV1mrrti88AFWo14Rt5ACUlcfhBoFVqNfxfr5hcj7jQH9pIYo4zpdV+XdQg95JbdN49u1JYqicsr0s5vOod4ICLT/8Dmc24fQbOpQAGoaqbM29eqsRl9nZbZWNJ82jCufmG4NNYb/yO6UbtVv2fR2M7FrdW4x8rv1G0ZwHd6LEj3N+mhUD/YN9WDRshPWExZgOfIlJA5ieXU5KWgzr2Az9XNspn2GLu0CQrHY2TC2W3gwtm0X6EltcSWdlk2my6qp2AR4ILO1AqAmpxjrejps6JsUBt8kCAJdf36D6N0fGHyTSXkdbfEa2BHN+YQG76SuHuiK67YN6koKkdQbRMpCmiN180CTcLz+57eElY8rtffhx2/CPrIZUrkFNXUz82K+ndzQldbR15UWIXEyrU9S/zAkLh5oL54yea45exhBVYO8W3+sR09Btfc3UFShKytC4mw6qLDxdkFh7IdySrDR68ba3RFlQRkAyoIyrN0dDd8Y+2jjb2x9XWmz+3MiTq2lfPcpatLFOuY3ayxlu05i4Xx3HXfrUD+0FdWE/W8ObXYuxX/eOJDevrsj93ZDnVuna01uEXKvW9ugy+MDqTpw5pbv7b1dqDTyT5V34Z+M0xRdy6LZQHGSpcXD3XDQ1w8XvX/y+WoR/r+sxOmJoWjyjPKdX4SF560Hf46PDkZxqE7nEktL/DauwG/d59j2bTiBACB1d0dXULclV1dYiMy9IQ+bkSNx+2k99pOnULlimUjf2gbbMWOp/v7W/ZqbcPZypcSobpTlFePifWu7sHG0JaJfJ64cESdrA9qG4OLjxoX4hrb8T8DSu2H/7F78uNTKkjbbP6b1n0twNhpU1u/XNNbe295ln8CUZl16ay9nakurDBM0cOt+gI2PC4p6/Sxbb1fKr2Th0bUlli72yGws8e3bAVtfE/1NA84B3wC3zpwZ/+f4r28r/VfBe/xgSvcmoMotuXPivwlVTjGJfWdi6eVCq+9mU/znMdRF5fdFUyKT4dKtJUcGzUWrrKXbpnmUn0uj+NAFLs75msg1r2LhZIumuqZuUHePKD2bwp4+s3Fo7kun5S+Sty8JXa2aA8PfoyavFCt3R3pufJNa5YO5c639y8PRaXWkbD5i8tyrQxiCTkdF5t+/Y0pqIcXK2Z5fh8/Hq0Mog1dN44eeM5BayPDp0oLiC+mcW/UXnWePpuhc+gMrw7WfD+DczJcubz2JVCKh6PT1BqvL94Nj01ahzCvFws6aR3e9hhAejeb84bv6VnP9LJqLx0CrwaJjX6yGT6bmp8UglSILaIly7VyE8mKsHp2GRfveaBIPPLB8txzRnatb6859SGUyfDu3IGXp77h1b4XvQ10oS7r9jHd9tJo1iuQ129EqGq+PErkM74GduPrRN/eVd2NYeLpg3Sqo8S2ldwltciLKyydEPbSPwfLh56n9+SMkzp5I3XxQrhK3PFk98TrStObosq7fd74bs22JhRTn8GCS3vqO3N1nafv6KMJeHs61Dxs/N3crSGVSXLu15PCgeWiVtURtmkv5uVSKD4krDxKZlMjVL5O2dhe+BX/jnkOJBJtxU1F8seTev71PyD2dabniZa69stKw1fquIZFgNeoFan5c2uCVLLgl6HRorySiOvQX1o8+j+ZK4n3n926yqMgp4dKA15B7udBy0yKqz17Hpk0IVkHelPx1FMfo9nfFS2Ihxb5rGy4NnoEqu5CwL2fh/nhfin7ec5+lEOE0Igab8GakjXnjgdBrDLtm/Y++7z1L1KsjSdmdgFat3/Ujk+HfuQX5Y6ci1NTi/+sXqG/cXd21H9oXq7bNKRo/y/AsY+AzaAuKsfD3xvfrD8m5no7mLunVh3LLFpRbtmDdrz92zzxLxZLF2I0fj2LTrwg1D/YuaKlMyvPLXyP+u+0U3ShAIpHw2Nvj+P71Lx4on38SSd0moc4rwSrQi5a/LEB5JZPajLwm5+vcwo/A4VHkHWg4GX4vqEjO4fKqP4nd8AYaRS2lFzMMfb7k7/cQPnNUGOKa8vvAp8BztyH3r4D5zKEZ9wyJRDIJmAQw2zGSEbYh1OaVYOlXN6Nm6eOKKq/4ViRM4NC5BY7dWuM9fjAyO2skcgu01TVkflB3/keVW4KlrzF9N2r/xmBSlV+K4soNHKNaU7ztODV5JVj71s1w2fi6UptnSrcmtwRrPzdqckuQyKTIHWxQl1RSk1tMybHLqPXn/gr3JOIYHkzxoQsUxCVQEJeAc+fmtFs6mapUsdGx8XFFmVuffik2vm4oDfRtDWcJb6Lyeg6a6hocW/lTlpRGTV4poRMGEPxULNYeTqiyirAzKoetjyvVeaUmNKrzSrEzmqW383FFYZSm+WO9COwfyfYn6g6Dtx7Xn5ZjY7HxdqE0JRd7Ix72Pq5U1eNRlVeKfT0eN/NRlVtKyg5x5jY/MRUEgY4vDiX82X7iFsjsYmzcHbmxLwn38OAHVgZBq+PEe+tI+/MEnWc8itzJlsqUPPwHdUKZa0pfmVeKra+rQReWjraoSqq4HZR6/prqGjQXjiL1DYXzhxEqSw0rgQASB1dDwJO6j+toa87GY9n3STHPlSXo8jPELamAoK7Bsu+TWHQeSHV8KvY+RnrwvoUejGae66eRyKQ0G9yFDQ+/XfdNbgnZJ69SeT0HvxHdyd+biHNECBKZtEGdVerr7E2bsNDXWZfIZvgN7Ua7t8cid7RF0Aloa9WkfSMGgPLq24Hy82lo9BMz6rxiE7uW+7ihvku/cRMuQ3uK5xc12kbfN6qHqnp6qKm7gFxz7gDy2McAkLXoiDYnRdzWC2hTzyP1bYYu67rBbm/iQdi2MqcEZW4JpWdTkEilaBS1OIWHAGDt60ZNPT039E22qEsqUeaWUHLsisE3FexJxCk8xDA4DP/0BarT8khfswPf3g1lpispNNluKnX1QDBaScTGFllACPbzPxffO7tiP2cRVR/OvW1QmtrcEqzuw4/L7G1o99NbZCzZQGVCwwG6rrwYuUsdfamLO0K5UX2yskHqE4Ttq+IF4RJHF2wmv4P65D7k3QeCqhbN5QQk1jZoUy8hC2yO1NkdoawIqDuOoMwrNdl6b+fravADNUUV2Hg6oywow8bTmVr99nllXil2vm6GqBTG39yEOr+UmuRsbFoGYt+pJbYRzbDv2kYMpmZtSctfF3L1sXm3lI8qtxjlpTRUmeKKaumuE9hHtritTNV5xch96nRt4eOOOr+hDdr1bI/H1CdIG/OG4ZjGTbg+8zAuTwziWUFG3rlUHIz8k8Nd+CfjNCUpuWx6WtSPS4g3oX07AFCZW0LWyatYl4nyrDl9HusuEXX59nJHU1C3enUTNlGRuEwaQ87410Fdt+VSWyCWUZOVh/LUOaxahTUYHOqKipB6ehp+Sz080BY15HETNfv24vCaeD5V3roN1n364DB5MhJ7e9AJCCoVyi1ioL6YZwYRPaY/AOlJybj6unEz7JGztxuleY3bxdOLJ1OQlsveb8SYJlb2Nvi1CGDGz/MBcPJw5qW1c5BYKEy3TTchVHkN+2f34sfV+rLWZuajLiyl5cb5aCsUZCWmm/Rr6rf3AIo79AnqQ5FXip2vK7Y+rsR+/RpZO06jyDLV6a36AcrcUmzr9bMU+rynbjhA6gZx8jbijccNOwtqiioAbjZO/wO23bVgzPjHYd5Weh8QBGGNIAidBUHoPMJW7LhUJSZjE+KDVYAnErkF7iOiKdl1dwFPr09dxpnOU0jo+iLp7/1A4a8HTAaGAJWJydiE+mAVKNL3GNmTkrhTt6BoCksfV6TWYtQ/mZMdjl1boUwWz3CUn03BLtQbm0APJHIZPiN7kL/LdMtMwa4z+D8u9qC8h3Wj+LDYwSqMP4dD60CkNpZIZFJce7Q2BIuw1G8lqk7Nwy7Ei/x9SUjkMvxHdic3zpR+btwZAh/vBYDf0G4UHhHp2wZ6IJGJVdXG3x2HZr4obhQhs7XCws6a1G93c2D4e1RnFHBjXyLNRotnITw6hqGuVBi2Nt2EsqAMdZUSj45hADQbHU2GPi9+MRGEvziU3ROWojU6o3L5+z1sGTwPnVrD+R/30nqUyMMrMgxVpQJFPR6KgjJUVUq8IkUerUdFk6rnkbrrNP492gDgHOKNVG5Bwpfb+HnwXCpuFHFjXxLNH4vGO6qVYYvcgyiDzNoSCxsrCpNScW4dgEQmoyo9j8ARUWTV00V2XAIhj4m6DhjalXy9rm8FiUxq2HYqsZAhax6JrlA8a6fLSUXq6o3E2QOkMmRto9BcM932I7F3rstni07o9MFqdDmpYG0LtvrtZAKoDvxGzdq5pOw6Y9CDd2QYtbfRg3cjegAIjG5HSUqOydaujIPncG8ZQOXVG9iHeuMRG0FVSg7+I7uTV09OeUZ11ndoN4r0dfbwyAXEdXmVuC6vkvK/nVxbvtUwMATwf6QHWVvqViurk65jFeyDpd5vuAzvRfnu2wdvqA/XEb0p2Xrolu91uWlIXDyROLmDVIZF665ok+utMto5Gf4raxaJTr91VKgoQRbQEiRSUYcBLQ2BbEoTU7AP9Rbt9AHZdm1hOcrsYuzDfChNFH2TMrcYiVyG78juDXxTfj3fVGTimwIMvsnNyDe1eONxLBxsuDSvYRCkm9AmX0Xq44/U0xssLJD37IvqtFFkUEU15RNHUDH1SSqmPonm+qU7DgxB9OPWf9OPS+QWtPl2Nvm/HjBEMK0PXcY1pB6+SNy8QGaBRcfeaM4Zpa1RUP3GGKrfnUD1uxPQpl9B+dUCVFu/Rb3nN7TXktCcO4Y8agDS4FYgkyEoqxEq6k0iFZShrlTirvdDIaOjuaHXTVZcAqF6nYc+3svkeYjeR7t3DENVIfo3Wx9XZNZyQGyfrMN8sXB1oHx/Aue7T0KVU0jK5I+oTc257cAQoDoxGZmjHRauYvvj2CMcpVFwp8agPHcNq2Bf5P5eSOQWOA3tTeUe04i/1m1C8Vs4jcxJ76MtbrjjpuTHv0gZ+go/PDSX5F1naKv3Tz56/1Rdzz9V6/2Tj94/tR0VTbLedmxvniOVSIh6ZQRJP+0FIF3vnyTWViCTYuHvg9TeFgs/L7CwwP6hGKrjTeuFZaswPN59hbxp76Itqcu31NEe5KLMpc6OWEe2RZViGvQHQH3lCjI/f6Teoh1Y9+1L7VHTXTUyP786flHd0WaL/r/01ZcpGvMkRWOeRLFpE9XrfjIMDAH2/7iLhUNmsXDILBLjThH1aB8AQiKbo6xUUFFoKjMQzxXaONjyy4LvDM9qKhXM7DiRudFTmRs9ldSz11n1/If/2MAQoDrxOlYhdX7cdUQ0pXdp1zInOyT6834WLg5YuDhw7ZmFXBw4g8xdZwgz6tfctBljKAvKUFXW9QnCRkeTWc9PGqMoMRWnMB8GbphDwoe/4t6p2V33A7LizhA4IgqppQV2AR44hHhToj83a6Wvt7Z+bgQM6ULG76K/tDY9I/kIYvDHfz2EJv73b4Xk33wgsqkhkUg2ADGAO5APvIsYoGYF4AGUAYmCIAy6E62jPqMMgnTu25GQBWKI8vyf95G97DcCZj1JVVIypXGnsW8fRstv5mDhbIeuRo26sIzEmNdM6Hk8Hot9+zDDVRaCUDdb69IvkpAF4lUWBRv2kbVsM4Gzn6AqMYWSuNPYdwij1TezTeif7TMdp94RhMwfJ+7vkUjI/WYH+T+J22zKBQs8+nWgzfvjQCYla0M8KZ9vofnsxyhPSqVg1xmkVnLar5yKY3gw6rIqzk5ejjJDPIfgOyqasFfE6FsFe85y9X0xzHWH1S/j0CYIgJy4BHyHdEEik5KxYT9Xl22l9ezRlCWmkhuXgNRKTueVL+HcLghVWTUnJ69AkVlAwOhoWr48HJ1aAzqBy0t/J3fnaWwDPYn6VpydlFrIuLH5CMe/+JPuC8fhHxOBpkbFoRlrKNKHbR65axFbBumvKogIoffSSWLI5/1JHNN3EB87/ClSSwtqS8WVrIKEZI6++S0A3t1b0+nNJ/h1xHz6LBxHUEwEaqWKvTPXUKDn8eTORfw8WOThGRFC/6WTxKss4pM48LbIQyqX0e+TSXi0DUSr0nJk4XqyjorBMVo+0pMuU4dh4+mERCqlOrfkgZXB3t+dQevmgE6HrlaNpYMtgiCQ+vMBLi3fSvisUZQkpZGt10X35S/iotfFkRdXUK3fSjvsxOeGg+vqcgXxY5ZQnVVE/9/fRmohQyKTYlt+EdXunwx7yWRh7bEc+LR4hULiAdRH/kDeZxS6nDS01xOQxz6ORYuOCDotKKup3fGt4UybNKQdVv3Hilco5Kah+utr0GlZuwZi3hf1oFGq2P16nR7G7lhkuJbCMyKEAZ/W6WH/O3WDgQGfTiLvbDLnf9pnYn8tH+lJj5eGYWFrhYWDDeqyajI27Ofasq200tfZPL2cOq18Cad2QajLqjmlr7PGaPX6KDTVNSR/+ZcoC1srBp1eTly31/CtqZupdYzthP/8iUhkUoo37iVvxa/4zByL4lwy5btPYtu+GaH/exOZkz1CrQp1QRmX+4vXYlj6e9Li9yVc6Dqxwf69VtPqZpOloRFY9hsjXily/hCaY9uQR49El5eONjkRee/RyJp30Iejr0YV9wNCSR5IJMgHPossoAUIAtq0C6j3idev7PysFq9+HYhY8MwDs20Ap7ZBdFz6AlK5BVpFjdjpkEjI2rCf5M+30GL2aMqS0gy+qcPKlwy+KWHyCoNv8jP4JoGCPYlceX891j6u9Ev8gqpr2WhV4iqKxaFfUe37i/qwiOyG7fhpIJWiit9BzeafsH5iAtqUq6iNB4qA/fzPUf7wZaODwwuHTM9oufSLJPRmO7FhHzeWbSZo9hNUGvnxNkZ+XFVYRkKf6XiM6kWLz6eiuFo32Ln26hdUX0ynw+i6oCCyNp3FqywkUtTH41Dt2ojlw0+jzbyO9rzpoMfm1SXU/v61eJWFpTXWT09H6hOovz5GQKgooeanz9BlXmfrZleG7F7E9gGifblGhNDjc9EP5cQncWquaF+WLvb0Wv0ydn5uVGcXiVdZlIkr010+GIev3m6PTV9Dybk0vHu3o9M7Y7FCCxIJBd9tR51bTMD850Aqo3jjHop/P0jrbR+RPusLynefwrZ9M5qtfcPEJi72e0W0p17t8X9nAkgkKM6lkDFnFYJ+a6a1pemKn0F/MZ3xefsFJFIppb/upnDVL3i+9hTK89ep3HuS4B8XYt0yCHWB/qqXnEIyJ73fgM5OjTMA/d4fR4i+ndj5+hry9f7p2R2L+EHvn7wiQnhI75/S4pPYq/dPHZ8bRIdnxRW16ztPc2hJ3fUPrR/pyYCXh4AgUH3oJDWnzuE2ZwoSmZSK3+MoW7MBl6nPUnvxGor9x/H53xIsWwSjLRQnwW5eWWHVoQ0e77xi6BOU//Q7lZt31cnDo8bwf8tu3XCY+jJIpdTs2E71up+wm/AcmqtXqD16FIdpL2PZqROCRoNQWUXF8s/RpqebyMVu3HgEpdJwlcU7aZ7Ux5gFE2nbpwMqpYrvZ31Bxnkx8M687R+zcMgsnL1d+fD4V+QmZ6HRr9zGf7+DIxtNffiMn+fz26IfmPXt5EZ13RhmvbuEU2fPUVZWgZurMy9NfIZRw+7Y/SOx/UzD/536diTwvYkglVK0cS+5yzfh+/oYFEnJlO0+hV37ZjT7eo6+zqpRF5Ryoe+r2HduSdCSF8WAYxIp+Wv/pOhncULgInZ0WzQOv5gItEoVh2esMVxHMTxuEX8MFOuSW0QI0Z+Jtpgdn8QJfZ8gcHBnui18FmtXB1QVCkouZrD7qY+IXjaZsEd7otNoUZVWUVNUQd6hCxQev3LHfkCbV0YQ+mQfBK2WhHd+IjdeDP7U7/e3sXJxQKfWcPa9dYYBZdTyFwkZHX0BcVtpOjAZ+Hv7l/9BtPOKatJB0oX845I7p/rn8Z8eHD5IGA8OmwLGg8OmQLnQ9DuMayRNv1BdatG0PBT/gBnb/gMmaXsPkdL+DkyusmgirF3TtPSDVA/uPOatECivvnOi+4Tx4LApsPOzB3PO93aw+gfaqR69m7afUn9w2BQwHhw2FbZubtr61Ep6++3rDwK3Ghw+KNwcHDYlHnH8++fe7xbGg8OmQGODwweNlac/bHIexoPDpsBF7JqUPvwzPnZMzrp/5UDodvivDg7NZw7NMMMMM8wwwwwzzDDDDDOM8G/e+tmUMJ85NMMMM8wwwwwzzDDDDDPMMMO8cmiGGWaYYYYZZphhhhlmmGEM3X/06J155dAMM8wwwwwzzDDDDDPMMMMM88rhg0KpzrJJ6ddKmvbMqlba9Gdinyp5cBeX3wrTfKKblH5HVdObTJq86WeqCi2aNiCDy4qmr09Wlk2rizy5lHOypg2DvuzER01KH+D1bu82Kf3Hadq6BFD5DzRVX530b1L6rWj6AEffb7Vuch5Busbv0XxQuCCxb1L6ABZNG2cF+T/Qs6qoaHpdpxY6Nyn9cEt5k9KHpg8WA9Ah6dMmpZ8e/vadE90nNP/KsCj/9zCfOTTDDDPMMMOAph4YmmGGGWaYYYYZZvzbYF45NMMMM8wwwwwzzDDDDDPMMIL5zKEZZphhhhlmmGGGGWaYYYYZ/1n8p1cOJRLJN8BQoEAQhHb6Zx8DwwAVkAJMEASh7A6kBvc58ikSmZQb6+JJWfGHyUuppQXtV76EU0QIqtIqzk5ahvJGEQAObQIJ/3giFva2CIKOI4PmoatVE7X5bay8nNHWiFvbDj+5hNqiCgC8YiOIeP9ZJDIp6eviubbyzwb8Oq94EWc9v5OTl6PQ8wOw8XNjwMGPufzJb1z/8i/Dc6/YCCIXPINEJiV1/X6uNkK36/IXcYkIpra0iuOTV6DIKsKzdzsi5j6JVG6BTq0hacF6Co9cQmZjSfc1r2AX7IWg1bHoj63MnbfYQG/p0gUMHtwXpULJxOenk5h4oYFg5XI5y5YtpE/v7uh0Ot555yN+37IdgNGjhvL22zMQBIFz5y7z7LhpDb5/5N1xtI6NRKWsZcPrX5J9Mb1Bmodef4LOj/bG1smON9uONzx38XPniY+m4BbggYOHM1VF5WT8GM/FRuTSY/kU3MJDqC2t5NCUlVRnifJuO20YzcbEIOh0nJr3A7kHzgMQtfQF/Pt3oKaogm193zTQil49jf5hPgBYO9pSU6Eg8+QVmsW2R61U8cfrX5F3oWEZYmc9RvijvbBxsuPDNhMNz7s9/xCRT8ai02hRlFTw56z/UZ5d1OD7Ue+Op41eTute/5Ksi2mmerC25LlV03EP8kKn1XFh7xn+/HADAGFdW/PoO+PwbRXI9y8vI3HHiQb03WPb03rhOJBJyVq3j7R6NiKxtCBi5VQcI0JQl1aRNGkZyhuFSCxktFs6CceIECQyGTm/HiR1+VbDdz3fe4bAvh3QKGuJn7GGokZk4x4eTOzSyVhYW5K5L5Ej7/5o8j5i0kP0ePspvouYQk1pFb5RrRn09XQKsgoASNx5gh3LfwPgsXcn0DY2ErWylh9eX8WNRuT0wqoZBjmd33uGrR+uB6DvxIfp+WQ/dBotlSUV/DT7S5NvD584w5Lla9HqtIx6eCDPPz3a5H1OXgFvL1lOSVk5To4OLJk3A29P8WL1T7/8loPHTqPTCXTv0oE3X3kByS3OKT/67jja6Msg6tpUZnJrSyases1Qhot7E4x03YpHDLpeTlIjunaO7UDo+xNAJiV/3V6yV24xee8Y1ZqQBROwaxPE1SmfUbztOABW/u60+mY2SCVI5Rbkfr2DvB/iRB3+zfrjM6onIS8NM6RzaBPI0f5vUnkxg66b3zHxsdee/QhFcYUhbf/5zxAW2wG1spa/Xl9DfiN1q/esx2j3aDTWTnYsbfO84XlA15b0e/cZPFsFsPXllVzdfgoAz9gIwvW+O2NdPNcb8SUdjXz36UZ8d7+DH3Plk99INvLdSCXE7FpEWX4p2ybUnX/q9d4zBOntY++MNRQ2UgaP8GD6L52MzNqSjH2JHDKyj4jxAwgfNwCdVkfGvkSOfvAzHrHtaacvQ+a6eJJXNmzvOqx4yVCGM5PF9s4mwJ3Yg59SlZIDQOmZZM7P+RqA7pvfxtpT1IVWIqEoMRXvHm3QKGs5PH0NJY3k2y08mOjPxHxn7Uvk5DtivoOGdqXDjEdxbu7LtoffpfhcnY26tA6g+4fPYWlvg7WHE+oKBRpFLcemr6HkfEMeruHBdP9c9B3Z+xI5/bbIw9LZjl6rp2Hn70F1ViGHJq9AVa4g+JEetJ06FK1UgqpKSUVWEd4dwtAoa4mb2bj8PcODGfCpyCM9PpEDevk/9MU0XELFtsDK0ZbaCgXrH5qLtbM9Q1a/gm/7EEp+3UfWO2tw6BOJ//wXkMikFP+8m/xVv5nwsOvaBv93n8emdTDp0z6hbPtRwzvft8bh2LczEomEisNJZL/7vzoZx7an5cLxSGRSstftI33FVhO6EksL2q2cimNEKOrSSs5NWkaN3m+3WToZB73fzv31IOnLtwAQ8MJD+D/dDwDrn/eT9PWu+6qnXac/SpuxMSiLKwE4/uEvZMQnIZXLiF0ykaDwIBB0ZL7zNRIrSwIXTEQilVK4YQ95X2w24WHfrQ2B7z2HbetgUl76lNK/jhnedc7chPJKJgC12YUkT1jMvWLeB0s5eOQkri7ObPlp9V1/96D7ZgB9fpuLjacz2ho1ABdX/kH4rFFIpFJSNuznciM8opa/iGu4yOPolBWGfk6bacMJHdMHQafjzLwfyNP3c1pMHETYU7FIJBJS1sXfs7z+Dfivnjn8Tw8Oge+AlcAPRs92A28KgqCRSCQfAm8Cc25DQwZ8cXLsh9TkFBO9axH5u85QdS3bkCBgbCzqsmr2R03HZ2R3Wr09lrOTliORSenwxVQSp35B5aVM5C726NR1wR0SX/qC8qRUwCggjVRC+8UTOPz4YpS5xcTuXEhuXAKVRvyCx8agKqsmrvsM/Ed0p928MZycvMLwPuK9p8nbl2RaCqmEjh+M5+ATi1HkltB/x/vk1KMbMiYGVXk1O3rMJGBEFBHzxnB8ygpUJZUcfvYTavLLcGzpT+8Nc9jW8WUArn65ncKjl5DIZXRfP5VBg2LZtSuewYP70qxZCG3aRNO1a0dWrlhMdK9h1Mebb7xCYUERbdv1RiKR4OrqDECzZiHMnj2NPjGPUFZWjoeHW4NvW8d0wD3Ehw9iXiMoshmjFz3PspHzGqS7tPcMh7/fxVv7Pzd5Puytpznz+yEGvPwov7yxhtYxkYSOiCJr1xnKr+cY0jUbI8p7a8+ZBI2IInLekxyeshKn5r4Ej4jiz9g52Hi50H/jG/wR/TqCTiB140GufbubHssmm/A8PGWlISBN/3lPYefmiGuIN1/0mYlfZDOGLJzANyMbBhi5tucsp77fzdT9pgfj8y5msHboPDQ1Kjo93Y9+b45h87QVJmnaxHTAI8Sb92NeJTiyOY8vmsjSRuS073/buH7sIjK5jGnr3qZ1TAcu70+kNKeIda+vou8LDfUHgFRCmyXPcerxRdTkFNN91wcU7DpDtVHd8h8bi7qsikNRr+E9sjst3h5L0qRleA+PQmol50jMbKQ2lvQ6+Cm5vx9FeaOQwNj2OIV4s6HXTDwjw+j1wXh+Hz6/AfveH0zgwOy1FJxNYcgPswiIieDG/nMA2Pm4EtA7nMos0wFz3smrfPi8aePfNiYSzxBv5se8QnBkc55c9Dwfj5zbgN+e//3JNb2cXl33Dm1iOnBpfyJZl9JZMuwN1DUqej09gEfefNrwjVarZeFnX/G/pQvw9nDjiUkziY3uSlhwoCHNJ6u+YfigWEY81I8TZ5L4fM0PLJk3g7PnL3P2/GU2f7scgGenvcGpxAt0jQxvkDdR1z4s1NvEY4ue57Nb6Dr52CVkchlTTXRdzPrXvyT2haGNaRqkUkIXP8/Fxxegyi2h/c4llMSdRnkty5CkNruI669+gd9Lw00+VeWXcW7oWwgqDVJbayIPLKVk1ylUheV/u/7k/naE3N+OAGDfOoCO371O5cUMw3dJL62kQu9jFdZ1zWFobHtcQrz5qs9MfCPDGLRwPD+MnN+guMl7Ejjz/W4m7//E5HlFTjF/zfyKbpOGGMlG9N1H9L47ZudC8ur52KCxMajLqtnTfQZ+I7rTZt4YThv57nbvPU1+fd8NhL3wEJXXs8HRto5WbHucQ7z5qddMvCLD6PPBeDY1Yh8xH0xg3+y15J9NYdgPswiMiSBz/zn8urcmZGAnNgx6C51Kg42bIxKphPDFEzj++Acoc4vptXMReXGNt3f7uk/Hd0R3Ws8bS8JksW5WZ+RzsP+bDfIAkDBVbO+sB3Sk9YSBbI6eiUfHMLovHs9fwxrmO2rxBI7OXkthQgr9f5yFX2wE2fHnKLuSRfwLy+ix5DmT9BKZlF7LX+TQq6tx8HKh9eSH2DfmQ9w6hNJ18Xh2Dm3Io+uSCZyYtZaihBRif5qFb2wEOfHnaDttGHmHL3Fx5Z+0nTaMttOGcXbRRqpuFLJ71EJyqxV0fWUkHSc9xOp2k/GODKPvovFsHNGQR+yiCeyds5a8symM+H4WQTERZOw/x46pKw1pes0bS22lAgBNrZrjn26iW0sPbFoEglRKwMLJJD/1LurcYlr++Qnlu09Sc/2G4Xt1ThEZM5fhNfkRE952nVph17k1Vwa+CkCL3xZjH9WOquMXQCql1ZLnSNDbXbddiyncddrE7vzG9kVTVs2RqFfxGtmD5m+P5fykZXjp/fbxmFlIbSzpcfBT8n4/gszOGv+n+3FisGjnLTfORVVdc1/1FCBp7U7OfrXdJH3bsbEAXOz/GhZuTrT46W1kjnZcGzMfVW4xbbZ/RFncSWqu1/kmVXYhadNX4D1lRAP+uhoVFwfOaPD8XjByyADGjhrOW+9/cufERmiKvhnAiWmrKE1KA6mEwUc+Jf7JxShzSxi4/X2ydyVQcb2OR6i+n7Ot50wCR0TRft4Yjk5ZgWNzPwJHRLFd38+J3fgmf0XPxLG5H2FPxRL38DvoVBpi1s8BaAYk35cQzfhH8J/eVioIwkGgpN6zOEEQbo7QjgN3CmHXFUhWZhQgqLXkbDmG1+DOJgm8Bnci65eDAOT9eQL36HYAuMdEUHkpk8pL4myUurQKdLefpXCNbEZ1Wj6KTJFf1pZj+AzqZJLGZ1BnMn85BED2thN46PkB+AzuTHVmIZVXs+rRDaMqPZ/qzEIEtZYbW4/jV4+u7+BOpOvLkbXtJJ692gJQdiGDmvwyACquZiGztkRqaYFWqaLwqDhLJai1nE28gJ+fOBM6bNhA1v20CYCTJxNwdnbE29uzQXnHjXuCDz8SG0lBECguLgVg4nNj+XL195SVlQNQWFjc4Nt2AztzerOY34yzydg42OLg4dwgXcbZZCoLyxo8927uh7K8mqKMPBK2HqFt/46kbz2Ofz25+A/qSOqvorwzt53EO7qt/nkn0rceR6fSUH2jkMr0fNwiwwAoOHGV2tKqBjyN0ebhbsgsZJz7Ta/Ls8lYO9pi79mwDNlnk6kqaFiGjGOX0OhXRrLPJuPo49ogTfjALpzUyyn97HVsHOxwrCcndY2K68cuAqBVa7lxMQ1nb5FWSVYhOVcyEYTGozE6d2yGIi2PmzaSt+VoIzbSmRx93cr/8wRuehkiCMhsrZDIpMisLdGpNWj0naTggZ249tthAArOpmDlaIdtPdnYejojt7eh4GwKANd+O0zIoDrePd59muOLfoa7OFcQMbAzJ4zkZHsLOV2rJycXb3Hi4tqxi6j1ukg7e90gP4Dzl68T6OdDgK83crmch/r1Yt9h01W5lPQbdO0YAUDXjhHE699LJBJUKjVqjQaVWoNao8XNxTRfN9FuYGdO1bOJxsqQfOySoQxZjeq6cXk5RDajJi2P2swCBLWGwi1HcB3UxSRN7Y1CFJczEHSm9UVQaxBUouuVWlkYVj4dIu+j/hjB55Ge5G452uB5Y2g+oBMX9HUrR1+37Bqxu5yzKVQ3YnflWUUUXrmBYOTPXSKbUVXPd3vX8yXeRr47pxHfrWjEd1v7uOLdvwMZ9WbmQwZ24oq+DPm3sQ9Lexvy9fZx5bfDhOrto90z/Tmz6k90ep0oiyvw6hBGdVqeoQw5W47hPchUF96D6tq73HpluBsEDupEyiYx34UJKVg62WFTL982ns5YOthQmCDmO2XTYQL1daI8OYeKlNwGdH37hFN6+QallzIJGNSJlA0HEHQCRbfhIXewoUjPI23TYQL0PAIGdSJVr6fUXw4Znhedvo6qXPRPTkGeBv3n3UH+eXr5X/7tMGH15AnQfGg3rm0VV7E0ylpyTl1D0PsS2w7NqU3PQ5WZj6DWUPrnIZwGdjX5XpVVQM2VRmxOEJBayZHILZBYWiCRW6AuKjPQVaTlm9idx2BTW/YY3JmcX8Qo5AV/Hsf1pq5v4bftmvtRnnAdnVKFoNWRfeIKbcfE3lc9vRVcmvuRdUT0xZrichAENMXl1OrlVLL1MC6D6supEOXljDv2w/4uOncIx8nR4Z6+kVhYPfC+WX0Y9/90ai2ZjfZzOpH2q8jjRr1+TqZRP6cqPR/XyDAcm/tSfDYFrV7XBccuAzx6T4X/F0AnCE3692/Ff3pweBd4DthxhzR+gGGKrianGGtvF5ME1j6u1GSLgxdBq0NdqUDu6oBdmA+CIND15zeI3v0BoVNNV14ilk0meu9imk1/xIiWC8qcuoGQMrcEm3odfuM0N/lZujogs7WixbRhXP7EdMsJgI23K4rsOrqK3BJs6pXDxtsFZU5JHd0KBZaupmHH/R7uSun5dEOH4ibkjrY8/HB/4uPFRsDX15sbWXWrb1nZufj6ept84+TkCMD8+bM4cXwHG9avxlO/ja558xBaNA9lf/zvHDr4BwMHxjQok6OXK2VGsirLK8HJu+Hg6FbIuZxJ2wGdKcspJnxQF6wdbFFVKLD1MZWLrbcLinpysXK1x9an7jmIMrWtJ9NbIbBrK6qLypHbWVNhVIaKvBIcvO6ORn10eCKG5P0NVx2cvFzqyan4tnKycbSlXb9OXDvScBtwY7DydjWpszU5JVjVo2/l44rSyEY0lUrkrg7k/XkCraKW2HOr6ZOwkrQvt6EuqwbAztuFKiO6Vbkl2NWTr523C9W5JY2mCR7YEUVeKcWXMxvk2atTM97a8RFTv3sTn+bi/JCzlyulOXUrjKV5xSYDvPqwcbQlvF8nrhw53+Bdj8f7cnF/ouF3QVGxYYsogJeHOwX1JjxaNgthz0Gxg7jn4DGqFUrKyivo0K4VXSLDiX1kPLGPjKNn10jCggMazZNzPZsov4NN2Dja0rZfx7vWtaWPKyojGalyi7FqZELilt/7utFh36d0PvMVWV9sRZVfiqXP368/xvAZ0Z3c34+YPAtfNoUee5cQNt20z+Lg7UKlEc/K+7C7m7Cp57trGvHdNvV8t8bIdzefNowrjfju8Pef4cL7GxpMcNg3Yh/29ezD3tuFqnr2cTONc6g3vl1bMvqP+Tzy61w824di512/DMVY+zRs7xprfwBsAz3ovXsxPX5/B9duLU2+6/D5ZHrvWYx399ZUG/GobsRv2taz68bS1IdTqDcgMGDdbIJGROHRrUXd9zmNt3cKYx5GaazdHVHqJwWUBWVYuzs24OfVIYycU9cNv6vybiH/vJLbpvHt2hJFUTll6fmNlsvS262Bzcm9Gu6kaQyKhKtUHj1Pu9PfEn76OyoOnKU2OctAt9ZID7U5xVjdoW+j0fdt8vV+u/e5r+iV8AUZX25DU1ZN9ZUbOHdrhdzFHqmNJcGx7bH1cLqvegoQPm4AT8Z9QN9PXsDKSVw9L76USciAjiCTYhngiXUzf7SKujtMVLnFyL3vTk4AUitL2mz/mNZ/LsG53qCySSG1aLK+WZfPJjNg9wc0f34Qipx6PHwasQcjHio9Dxsflwbf2nq7Un4lC4+uLbF0sUdmY4lv3w4AjTdMZvzrYB4c3gISiWQuoAHWNRUPqUyKa7eWnH3pC44On4/3kM646Wd8zr60kkMxczg2/D1co1oR+Fiv++bXetYoktdsR6uovW9ajcGxhR8R857kzOyvTZ5LZFK6fTmNL774hrS0hh3xW8HCQkZAgC/Hj52hW9RDHD9xhg+XiPf9yCwsaNYshP4DHuOZZ6fy5aqPDIPJB4U/Fv2Ed3M/wgd1ISyqDWW5xSYrAU2JtsO7c/GPY3dOeJcIf6QnPuGhHPtq233RkcqkjFv+Cge/20nxjYIHlLtbwykyDEGrI779ixzs8gohUx7GJqjhCvO9wsLakshpwzn16aYG7wovpPNT1Gt88NBs9n+3k8lrZt0zfalMynPLXyX+ux0N5NR1ZC+CIkLZs+aPW3zdOF5/aQKnEy8weuKrnE68iJeHG1KplMysHFIzsti76Rv2/fYtJxPOcSbp4j3nubEyPPsP6hpAlVNMYt+ZJHSfhufjfZC7Oz0Quk4dm6FV1lJ1pW7VLemlFRyJmc2J4fNxiWpFu0eb9o7U+0GrW/hurwGR1BZVUH4u7RZf/n1ILaRYO9uzafh8jizawOBVDc903wtq88vY0+llDg54k4vv/kjHVS9jYW8DiO3dgdg5HBnxHlbOdvjFRjyIIphAIpPh2aUFB6etovD0dTy7tTKsftwv6i8A+HdvjYOvG+d/2nPftFuO6M7VrQ+uLTCGZZA31s0CuNhtIhe6PodDj3Dsura5b7qOkc0QtDoOtp/CoS4vEzRlKDZBnlRfzyZ95R903DiXjhveovBSxi13Idwtzv+4hx+jZ/DzoLkoCsro+fZTAFzaeICqvBLa7viEwPcmUpOafVc7RG6FpG6TuDRkFqlTPyPwvYlYBXnf+aN/CRrrm52Yuoq4vm8QP3IBDs39sA95sOWpSM7h8qo/id3wBjHr5lAqbudv2ktSmwBCE//7t+K/fuawUUgkkvGIgWr6CbfxXBKJZFK/fv2mz58/33enMpnBNs2w9nWjJq/UJF1NbgnWfm7U5JYgkUmRO9iiLqlEmVtCybErqEvEg9QFexJxCg+h+NBFavU0tNU15Gw+gktkGJm/HqImtxQb37rZLhsfV5S5JfX4iWmURvxUJZW4RjbDb2g32r09FrmjLegEtLVqUr+JQ5lXgq1fHV1bH1eU9cqhzCvFxte1jq6jLaqSKkM+enwznZOvrKY6w7Qj2enjiVSl5qFWazh1chcAp08nEeDva0jj7+dDTk6eyXfFxaVUVysMAWh++20bE8Y/CUB2di4nT55Fo9GQnn6D68mpNGsWQs9+A4ka0xeAG0kpOBvJytnblfI8U1ndDhUFpWx5/wcGvTaa7R//TMTgrlg526HINZWLIq8UW19XFEZyqS2pQpErPjeWqaKeTBtD5/EDiRwTS0lqLjfOXMfRqAyO3q5U5t+ZhjFCerYletoIvn98IVr9rGGvZwbSfYwYFCCzgZzcbimnJxdPojAtj/3fbG/0fWOozSsxqbPWvq7U1qNfm1uCjZ8btXoZWjjYoC6pxGfWaIr2JSFotKiKKlCVVdH1t7dRl1eTfS4NeyO69j6uVNeTb3VeKXZGqzM30zgGe+IY4MFjuz4AxLOHo3YsZPOwd1EWiluVkYFbgCeufu7M2/UJqQnXcfF1B64C4OLtRtkt5DR28WQK0vKIryenlj3DGTztEZY+MR+N0Qyup7sbeQV1s//5hUV41jtH6+nuxrJFbwGgUCjZc/Aojg72bNoWR/u2LbC1FTva0d06kXTxCp3aix3f6GcG0l1vE/V17XQbm3hi8QsUpuVy4Js7bZ6ogyq3BEvfuhVQSx9Rp/cKVX4piis3cIxqjSq3BPe/WX9uwmdkD3J/N91SauxjczcfIWJsDF2efwiA3HOpOBjxdPgbdlcfynq+27oR330zTY2hHKLvdqnnuwW977bxdsFnYEe8+3VAaiVH7mzH8+dXU5ldTEFSagP7qKpnH1V5pdjXs4+baapyS0nZIQbSKUhMRRAE1IraemVwoya3YXtnXIab7Q+ATiW2F+Xn0qjOyMcuzIfypFS8H+pM4FNiHS27lo17+1ADPbtG/Kainl03lqY+nFv4Yeloy6CNb1KcmIqmugbX8GDyDl/Ezrfx9s7WmIdRmpqiCmw8nVEWlGHj6UytPpBRi/H9afncQOwDPUiJO4OlQ90ZUHvvW8jfaBW8fhqJTEqzwV3Y8PCtL0FX5RU3sDl1fsNjFo3KZHB3qs9eRadfUavYn4Bdx5ZUn7yEKq/YxAasfN0MNnMTN/s2tUb1VfTbPSnel4ig0aIuqqDs1FUc24eizCggZ308Uis5/k/3I2xwF8rS8++rniqL6oJIXVwfz9DvxEvvBa2Ow++tQ60Td5q03fMZUmsrUznl3Z2cANR6n1ObmU/lsQvYtguhNiPvDl89AOg0TdI3u9lP1VTXkBt3lqDHo0155DZiD0Y8LPU8lLml2Pqa5k+hl1XqhgOkbhC3HUe88TjAtfsXiBn/BMwrh/UgkUgGA7OB4YIgKG6XVhCENXv27AmPjo4ufqRldyRyGb4ju5O/64xJuvxdZ/B/vDcA3sO6UXRYnNUvjD+HQ+sApDaWSGRS3Hq0pupatmjc+m04EgsZngM6UnFF3LlampiCfag3toEeSOQy/Ed2JzfOlF9u3BkCHxdXGv2GdqNQv+/+4MgF7OryKru6vErK/3ZydflWUr+J09NNxT7EG9sAkW7AiChy6pUjZ1cCwfpy+A/tSoG+HHJHW6J/fJ3zH/xM8SlT22875zHkjrYkvvMjq1d/T5eug+jSdRB//LmTp/TRGLt27Uh5eSV5eQ1XJ/76azd9+nQHIDY2msuXxW06f/yxiz69xedubi40bxZKWloGR36M49Mhb/DpkDc4H3eazo+K+Q2KbEZNpaLRs4W3gp2LA1nnUvEI9ubhOWM5tekAwSOiyIpLMEmXFZdAqH5lN3BoV/IPXzI8Dx4RhdTSArsADxxCvCnWn5m4HUrT8sg6fY3VA+ZwNe40EaP0uoxsRk2lstGzhbeCd9sghiyeyMaJn5pEYjz0YxwfDZnDR0PmcC7uFF31cgqObE5NpYKKRuT08MwnsHawZfOC7++aP0D52RRsQ72x0ddZ75E9KKhXtwp2ncFXX7e8hnWjWF+3arKLcdXP7stsrZA72HLm2Y852u8N0nadocUosUHzjAxDValAUU82ioIy1FVKPPVnPVuMiiY97gwlV7L4PnIq63pMZ12P6VTnlvDbQ/NQFpZj41G3WpVxLpmKwnIWDnqdc3En6WYkJ+Ut5DRs5hPYONiyacF3Js/92wYz9oMX+PL5j6gy0gVAu1bNyczKISsnD7VazY69h4jt2c0kTWlZBTr9maH/rdvEI0P6A+Dj6cHpxItoNFrUGg2nEy8QGlS3e+fwj3F8POQNPtbbRJd6NtFYGYbMfBwbB1t+X/BDg3e3Q2ViMjahPlgFeiKRW+Axsiclcafu6ltLH1ek1pYAyJzscOzaCmVyDpWJyX+7/gAgkeA9PMrkvGF9H+sxoCOX/jjGt0Pm8u2QuVyPO0M7fd3yjQyjtlLR6NnCe0FZI747r57vzjPy3b5Du1Gk992HRy4grsurxOl997XlW0n7Jo5LH2xkV8eXievyKqenrODGwQusDZ/CxsFzSd11hlb6Mnjdxj5UVUq89PbRalQ0afo8pe46jV8PcRXJOcQbqdyCG4cuYGekC99GypAfV9fe+RiVwdLNAaTiOVLbQE/sQrxRZOQjkUnJ2Xqcg/3f5NDgeUgspIZBmUfHMFQVCsMWzptQFpShqlTi0VHMd9joaDLr1Yn6OLVgHVU3ivhr+HtkxSXg1bMN5deycb8ND3WlEnc9j5DR0dzQ88iKSyBUr6fQx3vVPd99FqlMxm9PfMDlTYdprZe/t74O3Ur+3nr5tx4VTaqRPAOj21GSkmOy9bQ+FEnXsQrxwTJAtDmXYb0o333ytrK4CVVOIQ5R7UAmBQsZ9lFtqdFvK1UkXcc21BtrI7sr3HXa5PvCXafxfbwPAJ7Doigx+O0iXPTnD6W2Vjh1bE51sniMRO7uSNa3cSQ++xG15dUkfbPrvuqp8fnE0MGdKdafybWwtsTCRhwMOvZqj7a8GrmXi0FOriOiKb1L3yRzskOiP6tn4eKAfZdWKK/duMNXDwaCpvaB980kMqlh26nEQoZjC19k1lbYBXgglcsIHBFFVj27zo5LIOQxkUfA0K7k63lkxZ0hsF4/p0Tfz7FyE3dz2fq5ETCkC8D6Byudpocg6Jr0798Kyf0u6f+/DIlEsgGIAdyBfOBdxOikVsDNKaXjgiBMuQOpIVUpuX9JZFKyNuwn+fMttJg9mrKkNAp2nUFqJafDypdwDA9GXVZFwuQVKPUzOH6jogl7ZQQgULAnkSvvr0dma0X3Le+Ih8SlUooOnefsuz8ZDkl79etAhD6sccaG/VxdtpXWs0dTlphKblwCUis5nVe+hHO7IFRl1ZycvAJFpunAq/Xro9BU1xiustBKJHj3bU8HPd20nw9wZdlW2s4aRUlSmoFu1xUv4qKne3zKCqozC2n92khavTyMqtS6MxEHn1yC1NKCoQkrqLieja5WQ4a2ilVffse334ph8ZctW8jAgTEoFTU8/8IMEhLEyGOnTu6iS9dBAAQG+vHtN8twdnaisKiYF16YwY0bYiPz0UfvMGhgDFqtjiVLlvPLr38wzcd0a9ijCybQqo8Yjn7DrNVknRcjE87cvoRPh7wBwNA3xtJxRE8cvVyoyC/lxMZ4dn2+iYiHuvHw7CeRW1thZWeNoqySG+sPcGH5H0To5ZKll0vP5VNwbRdMbVkVh19cSVVmIQDtXhlO2JN9ELQ6Tr/zIznxYhmjV03Fq3trrFztURZWcO7T30jRz7CFL5tE1tlkEtbtBWDw++MJ6xOBRn+VRe55cQvZC9s/4H9DxJWkfm+Ood2IHjh4OVOZX8bZn+M5+Plmnlr3Jp4tAwwDyoqcIjY+v5RCiemZ0McWPEfrPu1RKVWsm/UlN/Rymr39Qz4aMgdnb1cWHP+SvORsNCox9PWh73dxbOM+AiPCeP6rmdg42aGpVVNRWEZSL9OtmO79OtD6/XGINhJP6udbaDb7McqTUinU20jEyqk46G0kafJylBkFyGytCF/2InYt/JBIJGT9vJ/0VeLW2HRLC6IXjiMgRpTN/plrKNRvrxu9cxGbBouRRD0iQohdOgmZtSU34pM4/HbDAc9TRz/jt4ffpqa0irbjBtD2mX4odBrUNSp+e/8HUhPEhvWJBRNpo5fTj7NWkamX05vbP2LxkNk4e7vywfHV5CVnodavDB74fidHN+7jlZ/m4dsykHL9YKw0u4jWEXXn4g4eO82HK9ai1el4ZEh/Jj/7OCu/Xkfbls2Ije5G3P4jfP7VD0gkEjq1b8u86VOwtJSLkU6XruZ00kUkEgnR3Toye1rddSavdzONbjt6wQRa9+mASlnL+lmrDbqetX0JHw95AydvVxYcX9VA18c3xhMYEcrEerpO7T3dhL5Lv0hCFohXWRRs2EfWss0Ezn6CqsQUSuJOY98hjFbfzMbC2Q5djRp1YRln+0zHqXcEIfPHiVu/JBJyv9lBvn5bnlXfzn+r/gC49mhDi3ljOD6kbvVFZmtF1y3vIpXLQCql+NAFNn6w3mTb+ID3xxHaJwK1UsX219eQp7e7CdsX8e0QsW7FvPkkbYzs7tzP+zn8+Wa8I0J5dM1rWDvZoq1VU1VYzpHes/Hq14FwI999bdlWWul9d57el3Ra+RJO7YJQl1VzqhHf3Urvu02usgDce7TG/6WhJldZ9F44jiC9feyduYYCvX08sXMRG/X24RkRQr+lk7CwtiQjPomDevuQymX0+2QS7m0D0aq0HFm4nuyjl+jSO5y2C8SrLG5s2M/1ZVtoOXs0ZYlp5MeJuohc+RJO7YJR6ds7RWYBPg93peXsx8SI3DqBqx9vIn93AjJbK3r8/g5SuYVI89BFpHIZvn3C0SpVHJ6xxnAdxfC4RfwxUMy3W0QI0Z+Jdp0dn8SJeWK+Awd3ptvCZ7F2dUBVoaDkYga7n/oIgNBHexI+bRgSQUCn1iJ3sEGjVIlXWeh5DNm9iO0DRB6uESH0+FzkkROfxKm5Ig9LF3t6rX4ZOz83qrOLxKssyqqJ+uR5AoZ0oUJ/XZCdlzOq6ho0ShW7X6+T/9gdi1j/UJ38B3xaJ//979T5pwGfTiLvbDLnf9pnousJRz7D1sEaidwCbUU1ect/wfOFEeJVFhv3kr/yV7xnjEVxPpmK3SexjWhGyP/eROZkj1CrQl1YxpX+L4uRThdNxr5rWwSgcn8C2e9/U8coOooWervL2bCftM9/J2z2Y1QY2V27ldMMdnd+8jKD32677CXsWviBRELOz/vJWCVejdB563zkLg4IGi17319P1pGL91VP+38+BY+2QQiCQGVWEfFvfIOioAwHf3eG/zQHa50WVV4x6TO/wKZlAIHvTQSplKKNe8ldvgnf18egSEqmbPcp7No3o9nXc/RyUqMuKOVC31ex79ySoCUvgqADiZT8tX9S9PNeg5g6JJlGCb8VZr27hFNnz1FWVoGbqzMvTXyGUcMG3fG7469ueqB9M42iltgtbyOxkCGRSSk4dIGcg+eJfPdp8bqMnw9waflWwvU8svU8ui+v43HkRZEHQJtXRhD6ZB8ErZaEd34iN16MbdDv97excnFAp9Zw9r119P3lrcbvV/oXI8StfZMOktKKk/6VMvlPDw4fJP7yGtOkgqy9xZ1lDwraJqYP8FTJgSbnUX9w+KDRUdX0O7FvXmXRlKg/OHzQGKJs+vqU3kjUtQeJczJVk9IHWHbi/SbnUX9w+KDxeE3T1iWASqHp7S7Ruml5tKpt+lniLHnTbwYKUjftsaFimaxJ6QNYNLGLLf4HDuz0pvLOie4TRbXWTUr/qqW8SekDdNNvK21K3O3g8O9iS/ittxU/KGj+gSHKmJx1/8qB0O0Q5BbRpN4io/jcv1Im5m2lZphhhhlmmGGGGWaYYYYZZpgD0phhhhlmmGGGGWaYYYYZZhjjv7q70jw4NMMMM8wwwwwzzDDDDDPMMILuX3zdRFPCvK3UDDPMMMMMM8wwwwwzzDDDDHNAmgeFn3yf/n9akLp/4Eis9B+QUG0TT3d4N3EwBgCFtOnnbKqlTavwfyCmTpPP51X/A1NnztqmF1SFrGl1bfMPROP+J/xTbRPzsP0H5KT+B+Rkr2vaOqtoYt8E0NSq+Cdm3f8JXVs3saD+iU7TPxFoxa6JbWLk+aYPXPZLxDtNzuOpnJ/+lcFXbgc/l7ZNqtzs0ov/SpmYVw7NMMMMM8wwwwwzzDDDDDPMMJ85NMMMM8wwwwwzzDDDDDPMMIbuP7q70rxyaIYZZphhhhlmmGGGGWaYYcZ/e+VQIpF8AwwFCgRBaKd/9j4wAvFYQgEwXhCEnMY+B5YBQwCFa3gwJefTGyRyDQ+m++eTsbC2JHtfIqff/hEAS2c7eq2ehp2/B9VZhRyavAJVuQLHZj50XzoJ1/BgEj/8FTs/N/z6dkDQiTGTtDXixdz2gZ6c+3gTV9bueiA8fPt2QKusxcrVgdrSKgSdDp1Gy/Yh7xjK0fOzycj0PE69U8ej95fTsA/woOpGIQeniDy8urcm9pvpVN0oxNbbBYlUiiK3hGPT19B77auoq2rEMmm07Hjonfsuw+XV2w0y77lkAmGP9ERqIUORX8r+aasoSEg20YtbeDC9PxP53diXyHF9ebrMG0Ng/0h0ag0VGQUcmrEGVYWCsEd6ED7lYSwEAQt7G2yDPKnJKSbj292krPjDhLbU0oL2K1/CKSIEVWkVZyctQ3mjCACHNoGEfzwRC3tbBEHHkUHz0NWqDd92/uF17NsEoqtVI5FJSV2/n6sr/2xAv+vyF3GJCKa2tIrjk1egyCrCs3c7IuY+iVRugU6tIWnBegqPXAKg1/rZWHs6I7GQUXTiKofnfkeX+U/j37cDGmUth6evoeRCw/rrFh5MtF7vWfsSOamXU9DQrnSY8SjOzX3Z9vC7FJ9Lwy8mgh4fT8TazRFVeTWKvFLOvr+BfH0epJYW9Fg+BdfwEGpLKzk8ZSXVWaJc2k4bRtiYGASdjtPzfiD3wPk6Q5NKGLzzfZS5pVz9djed338GiVRKdU4xtt4uCDod137Yy9Wv4ww83PQ8DtXj0UzP45QRj6ilL+DfvwM1RRVs6/umgW/ow13pNONRXFr4UZ1bQm15Nfunr6GoETm5hwcTo69PmfsSOaqX001ETHqI7u88xffhU6gpraLZIz3o8NJQrOxssPZwQlVSyfXvdnOlEV130+taVVrFUb2uLV3s6fG/V3HtEEr6xoMkzP0eAAs7a/puqTs7YuvryrXNR5BIJQTodX1g+hqKb1GGPnpd39iXyDF9GTq9PpqgQR1BJ2DpZAeCgKpKScofxwkbHoUUCZpqJSfe+I6yS5n3bMsAnd9/Bj99/o5NX2PwpQ/tXIBzqwAEncC5pZu58MU2kzx3WfAMzcbGUJVecNe+CcCre2u6vPc0UgsZNSWVxI1eBMC4y2uQWckRdAKVmQVs6vvG35KTsqiCAzO+wrV1IN3fewa5nRUSiQRVWTW1JZXsGbXIoN97sQmHMB+iV08z5MUh0JOkjzdxde0uXNoG0uXD53AI8kRub0N1TjH7p6y8b7u+CZfWAXT/8DnsPJ2x9nRGmVtC2rr4Rv1TF6M6e9M/uXQIpdPHz4uJJHDp083k7DiNja8rXZa/iFObQCzsrKktqWTfuE8bzfe9tkO303XXBc/g368Dtt4uFCWlsvPRhfctJ/cOofT/4XXk9jYIgsDZD3/l8pod912OtlMeJuTRHqLoZFKcmvuxrv2LdJzxKAH9I7F2tqe2vBptjYpDM/9n0t7da1vn368DsStfQmYlR12h4MqanVw00vG91llbX1e6L5uCjYcTgiBQcPwq3tFtkEilJG/Yj0ZRQ4vxAxC0OrL3JpL00aYH5sNd2gbStYlswqdXOzq99QQyuQUWVnJkVnJ0KvUDa7P7/DYXG09ntDVqLJy90ZTngnDnQ6DzPljKwSMncXVxZstPq2+bViK3QWbnBhIJbaYN41Ij+b7XNlvuaEvUJ8/j1MofBIHjM/5H0RmT/tdM4BPAAyi6Y4H+jyGYo5X+J/EdMLjes48FQYgQBKEDsA241Sndh4Dm+r9JXRePbzRR1yUTODFrLVt7zsQhxBvf2AhANKy8w5f4I/p18g5fou20YQDUllZz+u0fubR6O47NfHEI8WZrz5kcfXU16vJqtg+Yy45B89Aqa7mx4/QD47EleibH5nyNlYs9cY8tYtvAuYaBIUDU4gkcm72WLdEzcTTi0W6qyGOLnke7qcMM3xScvMrZJb9QnJTGxnZTODH7a27Kac9ji8SyPPTOfZfBGP592xPQL5Lj83/ir8cWUlNSSVlyw7F9z8UTODx7Lb/qy+Ov55dz8Dyb+73B7wPeoiI1l/Z6fim/H2XLoLkcHvAWUrkFyuxi4ru9hu8jPbBv4WdCO2BsLOqyavZHTSftq+20enssIDbqHb6YyvlZX3OwzyyOP/I+OrXG8J33kC5oqmuw9nLh0FMfsbPPbAJHdsehHv2QMTGoyqvZ0WMm19fsIGLeGABUJZUcfvYT4vq+wclXVtNtxYuGb45NWsHu/m8RFzMHKzcHOs55HMcQbzbr9d79FvU3avEEjs5ey2a9nPz0ciq7kkX8C8vIP35VLJtUQrdF4zj2xrds7vU6NYXlnF/6Oz2WTzHQChsTg6qsmj96zuTK/3YSOe9JAByb+xI0IoptsXPYN/Yjuiwej8QoKEXL5wdTcV3UYZcPxhH/1Edc/OJPXNoGcmDi5/zZZw7pW44D0EzPY2vPmVw24uHU3JfgEVH8GTuHvWM/oqsRj9SNB9n31McNyl5yNYvzX++itqyaXc9/zsE5XxN9Czn1WjyBg7PX8nP0TJxCvAnQywnAzscV/97hVGbVtYOVmYX8+fgi0Ok48+a3KAtKCRrZHcd6ug7V63p7j5lcXbOD9npda2vUXPjoV5IWrDdJr6muIW7AW4a/6qwiFPmlOIV480v0TA7fpgw9F0/g0Oy1/KIvw02bOLf6LzYPeItTH/6CRllL1v5zHJ7zNc0f6cG20Qv5q9+bnP9sC1EfPQfcuy379m1v8HPGPiJ8xiPY+Xvwc9hE9j79MeGvjkRub2PIr1tECJbOdsgs5ffkm+SOtnT7YDzx45fyR983ODh5BQABfdsjtbBgXaeX+evxRaira/6WnDYPmkvm3rN0nP4IPReOY++LK1BVKFGXKzg0aTmHJq0w0LpXm6hMyWXHgLnsGDCXnYPmifrQtwOR88aQtTeRoqQ09j3/OepK5X3b9U1IZFJ6LX+RY299h6DVET9sPrtiZhPQiH8K1tfZnT1mcm3NDsL1dbbiahZ7B89jz4C3ODz2Izp+9BwSmRRBoyN7+ylKz6bwZ5vJCFotPT+bdMt8Pwhd+/Vtj2OIN1e+30P+8Su4tAp4IHKy8Xah6Fwa60IncGDScjq99QQSWcNu1r2W4+Lqv9g2cC7bBs7l7JJfyD9+Gc+OzXAM8Sb/xFUufb8bZVE5vw98q0F7dy9tnUQqofcnL5B3/Ao/tHweZWEFzScMwM7f3UDvXuusTqMjYcF6tsXMIW74ezQb24dTc79nW8xsmo2NIfiRHvzV/y22xb7BpS+3P1Af3pQ2UVtSyd7xn/LHwLeQWcmRymUPtM0GODFtFbsHvIWmLPuuBoYAI4cMYPXShhMdjUFm746mIg9N6Q2CR0Th2NzX5P3fabM7L3iGnP3n2NZ7Ntv7v0X5dZP6GAAMBDLvKoNm/J/hPz04FAThIFBS71mF0U87bh1QawTwg/79cUsnO2w8nU0S2Hg6I3ewoSghBYC0TYcJGNwZgIBBnUj95RAAqb8cMjyvLa6gOCkVQaPFuaUfaZsOA1CUkMJNHt692lKZUUB1dvED5yGRSrB2d7xtOVI2HSbQiEfKryKPlF/reNxEwKBOpNQrg6ReNM77LYMxQh7uilQu49qG/RQmpCB3sEVmbdmQn70NhXp+yZsOEzRIpJt98AKCVnTCBQkp2Pq4mnzr3LEZgkZDzqZDCGotOVuO4VWvzF6DO5H1y0EA8v48gXt0OwDcYyKovJRJ5SXRL6pLq0Af5Uxma0XIlCEUxCWgU6mpzixEUGu5sfU4foM6mdD3HdyJdD39rG0n8ezVFoCyCxnU5JcBYkdMZm2J1FLcHKCpUgIgsZAhlVvg1j7EoJdCo7pVX06WDnVyMtZ7eXIOFSm5hrTukWFUpueTtTeR6uxiMrYex7mFn0ke/Ad1JFVfVzK3ncQrWsx3wKBOZGw9jk6lofpGIZXp+bhFhol58HHFr18Hktfvx9LJlsr0fKoyC2n2VCzJGw7gP7AjINaHxnh463n4D+pE+i14FJy4Sm1pFfVRlpyDR0QIysJyMV1CClaOdtjWk5Otvj4V6OV0bdNhggfV1Yke85/m+KKfwejsQv6Z6ziH+FCZnk/2ztPYeLuSeRe69tLrWquspejkNbQ1am4F+1BvrN0ccQzy4rpe1wUJKVg63kLXRmW4blQGtb7uBA3sRPGlTHH2PyEFiUyGzEq0raKEZGx9XP+WLQcM6tSon/ONbU/+kUsIWh35xy4jaHUEj4gCxMmITm+P4dLq7Ugk3JNvCn2kB5k7TlGdUwxAjb7uBA3shFpRc99yArCwscLa1ZGK9Hy8OrcgfccpURaDOhnqKvw9m7gJr15tqdK3AyBe1uwV1YqUTYexdLClPCX3vu36Jnz7hFN6+QYWVnKq0vMpO5+OUKvhxtbj+DZSZzP0dTbbyD9plSqDb5VayQ0ta01BGU6t/Mn49RCa6hpKLmRg6Xzn9vR+dB04qBM39p7Fv18Hzq/ahtRC9kDk5B/bnpRfxbpcfi0bJBJsPJ3uuxzGCBnRnfQtxwga2Im0bSfx7taSMx/+iqWjHVYuDqgqFKa87qGt8+gQZvB3gk4ga+dpZJYWJnX7XutsTUEZpfqdAE4t/KgtrwZAp9aiUagov5aNTiVOktYWVzxQH04T2kTJxQyU+WW4R4ZRcT0bqdwCiUTywNrsv4vOHcJxcnS4YzqJhRWCVg06UfYZW48TUC/f96pruYMNnlEtSVm/HxB1rDaqj8BnwGz+mUC1DwSCIDTp378V/+ltpbeCRCJZBDwLlAOxt0jmB9y4+aM6pwQbbxeUBWWGBDbeLihy68aeN9MAWLs7GtIqC8oaDMgA5A62hkbN+PsgfePQFDx0Wh191r6GVlHLtZ/2cX1dPLb1eChyS7DV87Cpx8PGiIdHp2ZILGS4tA6k9HImlVezqc4pwam5D/02vIEgCFz/cR8l59PvqwzGcAzyoqa0il5LJ+HWJhC5nTWOQZ4merHzdqHamJ9ReYzR4onepP55wuSZtbcLcldHsn8/CkBNTjHOHZuZpvFxpeZmh02rQ12pQO7qgF2YD4Ig0PXnN7B0cyRnyzFSvxC3cbR443FSv/wLKy9nkwGvIrekQafQxtsFZU5JHf0KBZau9qhK6hpHv4e7Uno+3dDoAvTaMAfXDmHk7UtCIpWY1i29DIzlZHuXcjKkzTGtI0GP9KDkQl0ejNPczLeVqz02Pi4UnUkx+fam/ju/9zRnF27Awt4GqZUlimSxkXYI8qQ6qwivx6LxjGrF6bd/oDItX6yrjfCwbYTHrcpiDDtvF7SqugHYTRko7iAnOz3toIEdqc4rpeRyw4lSWx8XlNnFhI6JIW9fUqO6bqw89XV9KwSO6E7mH8exa+5LVT1d29XTdWM2YWckn86zH6P56GgU+aVsHTbfJE11XhlhY2LIiT/3t/yRjbdLo35OIgHHZj7IbCyR21gilVvgpJ/ZbjlhIDfiEpBayEwa2LvxTQ6h3kgtZAz8dS5ye2suf72L1E2HsfN2QdBoGbJe9E0Iwt+Wk6pCwfn/7cCrcwuc9Pz8h3TBysUBRV6pYTD8d2ziJoKN2gGAM+/8xENxC3FpHYBOrWX7iPfouXTSfdn1TTiFegMCUYsnYO/jSouXhnJt1TaUuSW43oN/co0Mo9Nnk7Dzd+fky18aBic23q4ocoqx9XfHtV0QlRkFjeb7XtuhW+na1tsFx1BvTi9Yj9zeBm2t+oHIydbbBQt7a4bvW4Kdvzvl17Ox8XBGkVt6X+W4CZm1Jb4xEZyY9704ANHpqCmppNfSSdh5OdNj8QQOTFuFRlkL3HtbZ+vjQuG5NOQ2loxJWImlvTWFp5NRlVWbyuVv1lmXtkFY2FgZBsZyRxucWwcweNt8tLVqEhZseKA+/PQ7PzGkiWzC+FuJTGpobx9km93ls8kIWh1SGwd0yjIeKKQWhoEh6PsaHRu2P/eia22NipriSqI+m4RL20BKzqVz+u0f0Spr8R/UESAbSHqwBfnvQiKRuAIbgWAgHXhcEITSRtIFAmsRV24FYIggCOm3o/2fXjm8FQRBmCsIQgCwDph2p/QPhufdpZNaSPEf2JHMeoOWB8Wj+FwaR17+kr1Pf0zL8f3x7Nbyb/EoOZ/Ob11fo+DEVTK2nyT2m+mGNMdmrmX7oHnse0rk4dou6MGVQSrBKcSbKz/uZcvgeQg6Hc0e631PZQBo//JwdFodKZuPmDy3C/VG0GqpupJ1zzSlMimu3Vpy9qUvODp8Pt5DOuPWqy2ObYOwC/YiX7897H7h2MKPiHlPcmb21ybPD435kD87TEVqZYGV651nFu8HNt4ueHRuzsnZ3/xtGn76MySNneWVWsnRabRk/HmC5HXxdF/a+Da0/0tYWFsS+fJwTn+y6ZZprL1cCB0bQ9Kinx84/8CR3cnccvSB0Dr90a/kHL5I1sELtJkwwOSdV4/WNBvTh4R7LMOdbLmmuJKiM8kM+uNdeq2airpSgaDTYePlTPDQrlz5Ju5v8ZPKpLhFhLDv2U/YM/ZDIl4biUOoNwCH3/qO3x+ax85nPsbOxwW3e/BNIMppQ9dXSf79qGH7ntRCintECJdX7yArLoF2Rvz+LqRyGX712oHm4/pRdi2b+OeXceq9dfT89IX74mEMiUyGZ5cWXF67i9zdZ/F7qDOe+lWEe0HJ2RR2x8xh70Nv0+rl4eIKoh4yK0u6f/0ap979yTBo/Lu4k66t3cVz0cWN+Jb7Rfm1bP7o+wbbh7yDnb87kvtYCapvIwEDIyk4fc0wWJPIpLi1C+bKj3spTExFW6Miwuhox92gfltn7eaATqdjQ6eXOTN/Pa7tgrAP9PjbZbgJC1srWr84hKIzyXU7WaQSZJZydg6dT8L7G+j11YPtbrVoQpu4CTsfN1w7hDVob+8FjbXZJ6auIq7vG8SPXIBEbo3Eyv5BZLdJIZHJcA0P5voPe9kxcB4aRS1tpw1DZmNJ25eHw62Paf1roUNo0r/7xBvAXkEQmgN79b8bww+IR+ZaA10R46ncFubB4e2xDhhl9HsqkKj/y12+fPk4iURyWiKRnJZ426PMMx2wK/NKTbYl2vm6GtLUFFUYtjbYeDobthq1GN+fIbsX0fyZvqirlNj5upl879jMl5Lz6dQUVTQJD2s3RxR5pdQUV3BjxxncO4ShqMfD1scVhZ6Hsh6PmuIKWo7rz6DN8xi85R2U+WUockuRWsiwcrXHzteVsoviKkptcQU3dp7Bxtf1nstgDI/OzRmyexFDdi+iKquI2vJqCs/qZ7UEcAhwN0lfnVeKnTE/o/IANH+sF4H9I9k/bVUDXg5tg1CVVNbJy9eNmnp6r8ktwdpPlKlEJkXuYIu6pBJlbgklx66gLqlEp1RRsCcRp/AQnDs3x6l9KLGnltPi9dHIHW3p89tcg6wbq1c2vq519B1tDTOQNj6u9PhmOidfWU11hqn9h40fQL9t7+HSPhS5nbVp3aonAwDFHeTUIK0+T7Y+rrSeMoSMLceoMsqDcZqb+a4tqUKZW/fcuMweXVrgP7AjI058RvSXU3Fq5Ydvv/YirdwS/V8pN3acxrl1gIGHbSM8FLl1z2/yuFVZbtrHqF2LUBSUIbOs68DerZyq80pxDPbEMcCD0XEfMPbYZ9j5uPLozoXYeIjbzGRWlnj2bM2h8UtRlVY1quvGynM3q4bhbz6OfZAnXT6dhKKgDPt6uq6ux6cxm6jOK6XNuP48umsRj+plUXo1i5CHuhjSWDrYEPXJ8+yf8Bmq0qq/5Y+UeaWGuthifH88u7agx7LJKAvKyD96me0D5rJnzIfIbKwoOZ+Ba7tgHIK9eOTIp8SsfQ2JVMrIw58Cd/ZNAIrcUnL2n0OjrCV4eBRWzvYMWD8HRUEZFvot6DXFFWhrNSYyuZ2c6iP596N4tAvB3seV6txSsg6cw9rNgar0fApOXMGlTaCYl3u0iZvw7dueUn070GJ8fx7avYgW4wdQcj4dO1830v88gXuHsPu2a8M3uSXkn7hKeUoO1l7O5O1LxDk8GJt79E83UXk9B7mjLQP2Lqb/7g+oKSwnYv5TZG4+QuaO043a5722Q2K+G9e1VG6BV1RrRh//jD6rpmLlbEf4tGEN+N2NnIKHdmV43CKGxy1CmV9mqMvlyTlILWRY2lnfdzluot204bi0DmRo3CKUBWVI5TKqc0soPCtuC0394zju4cGG9Pfa1ilyS3FrE0j2/nMIGi2WDjZUpufj2j7UVC73WGclFjJ6rX2V7N2JCLq6gb9WqaJI31YXJ6Yi6ARqiisfmA9vSpu4mYc2kwZTcT3b0N4+qDb7Zr9CU12DrrYKiYXVHfNzT9BpxNVDo7IocxuRyz3o+ma7XKzXaea2k7iGB+MQ5HlzgiEJcYXLH0gA7m+WzIwRwPf6/38PjKyfQCKRtAEsBEHYDSAIQpUgCIr66erDPDisB4lE0tzo5wjgitHvL4AO+r8tr7zyir8gCF0EQZhmUaUx2aYA4rYQdaUSd/1SfcjoaG7sOgNAVlwCoY/3AiD08V6G59e+28P2AXO5/uM+yq5mETI6GgD3jmGoKhT4xkaYbCV6kDy8urdGU12DsqAMCxsrfPq0o+xqVgMeYfV4hD0m8gh7TORx9fs97HnqI7YNnEvmrjO0em4gEqkEh2Av1FVKQ6AHmZ5H0enkey6DMQpPX2f7gLlsHzCX1C3HkMqkOIX64NExDIlMQvHFjIZ6qVLioefXbHQ0GXEiXb+YCMJfHMruCUsNkWENkEhw69YKmZUcm0APJHIZviO7k18vT/m7zuD/uLha6T2sG0WHL4r5jD+HQ+sApDaW4oxvj9ZUXcsm8/s97G3/EvFdXuHo0HcQNDpOvbYGiVxGwIgocurRz9mVQLCevv/QrhTo6csdbYn+8XXOf/AzxaeuGdLLbK2w9nQm5bvd7Bk8j5IzyeSfuEKYXu8e+rrVWP1VVdbJKWx0NJmNyB+gKDEVxxBvXFoH0P+HmWgUtVytt7KTHZdAqL6uBA7tSv5hMSpbVlwCQSOikFpaYBfggUOIN8VnU0hc/Au/d36Frd2mc/jFL8g/dBFtjRq7AA+y4xIIHtmdrLgEvLq3pjI1z0DrVjyCG+HRGG7ax2+D5pK+84xhMOfZMQxVpcJkSymAQl+fPPVyajE6mvS4M5RcyeKHDlNZ330667tPpzq3hM2D56EsLMfe143OMx5FVa5AUGuRymUEjogi+w66ztfr+k6QSCRcXvkncQPeIn3nGZrrdX2zDI3q2qgMzfU2cen7PeyZspzNelm0ebYfZSm5eHYMQ1ujIvrDiRx5ZbVB/n/HH2XFJRh8UMm5NEovZbIt9g2ydp0hbEwfkc6jPZBaSEn/4zjZexP5NXIam6Om81vXVxF0AodfETu3d/JNADd2ncGza0skMinJGw+iyC9l37hPuRF/jhZPiLL26d4amZWcAtMoe7eUE4BjiJchXfCgjhRdysAxxJvCpFS8u7YiaGR3cg6exz0yzBCk4V5t4iaCRtZtKb323R52DJhLZWoulRkFhI2Oxie6LYr80vu265vIPnAOl1YBlF7JwiHEG8+YCCpTcgkYEUVuvW9zdyUQpK+zfkb+yTbAwxCcxdbfHQs7a+KHz2fPgLewC3BH7mDD9a924N4xDPUt8n0v7RDcWtdnP/yVorMpbIqaTuJnv6OqVLJ/0vK/Jaf0bSf5Y+Bc/hg4l4IzyYQ9JtblgEEdkchkJhFf/245AOQONtj5uvFHzBy2DZxLxs4zBA7sRHVOCSFDu6GuVODWNojS69mmvO6hrStMSsXC1pqAAZ2QymUEPdIDSyc7KoyC3PydOhv16fNUXM8h4b11OIR4YxfggVQuQ2ZjhU4rHqNwCPVGamlB5l8nH5gPb0qbsHS0pf8PMzn13jqs3BzF+v2A2myJTIqlq7hSKLGQIbW0BW29/sh9QtDUIpHJDQPEoBFRZMUlmKS5V13XFJajyCnBIcwHAO9ebSm/nk3ZlSx+i5gK4vbHYCAL6AjkPdBCNQH+5WcOvQRBuHkgNg/waiRNC6BMIpFslkgkZyUSyccSiUR2J8KSf/OByKaGRCLZAMQA7kA+8C7i1RQtEa+yyACmCIKQ3djnwErEaKeK7YPfbleibwSG7BYjcQK4RoTQ4/NJyKwtyYlP4tTcHwCwdLGn1+qXsfNzozq7SAzrXlaNtYcTD+14H7mDDeh0SCxk1BZXoK6u5eSb3xLzzXS2dJ/BgM3zHiiPmuIKMXKmRIK2RoVUJsPS2Y5NHV8GxMiAPT6bJIanj0/i5DyRh5WLPb1v8sgq4sAUkUfL8QNo+Ww/dFqtGMJao6O2rJqkD3+l/SxxMdYxzIfzn2/hwvI/7rsM6upatsXMoUqhJHbVNIIGdUIQBAoTktnzwuf/X3vnHR9VmTXg50x6hYQWeglFuvQiCKiIIgjWXRUL6q6998Xeu6vot65lddfeG9JEpaP0JqD0XgJJSO/n++O9M5mEUMLcSSC+D7/8yNyZnHPv2+ae+55Cwf4cRk95gq+HmTar26UlJ79o9G2bvox5zvVcMPsFPOGhvuD2PYvXMfe+dwBI6tee/vdeyNoXvqTDY5chIR62fTSddf/8mrZ3n0/6so3smbIIT0QYJ756PfGdW1CYnsXia8aT6zwRbHzeAJJvHgUoe6YtZc1jZbNNRjWtS5+vHqSkoAgJ8bDx4xmsefkbOt51HqnLNrJz6mI8EWH0Hn8dCZ2aU5CezS/Xjid7Swrtbx3NCTeNJGvDbp+8mX99GgQGvHcnnvAwxCPsmbOKuY98QO9HL6Xx4C4U5xYw+/Y3fDcxZ099gm9PH+fr9wEvmXba/vMyfnXaqdkZPenz+GVEJpoECKm/bWbV21MY+PK1RNSOITdlv9kpqleLxY99xKYv5uCJCDNpsTu1ID89iznXvUrWlhQAOt58Nsl/HYQWl7DowffY8fPyMu1Sv197Olw7nD/+O40ej4zBExZKcUERJYVFhNeKZtW/vjelLCLCOMlPx2w/HZ38dCz00zHg/26gQb/2RCTGkpuSwfIXvmD9RzOoN7wnJz12GdFOQomi3AK+u/BJ9jrtdN6UJ/jCbzwNccbT1unLmOO0kz8Xz3uJL4c/QF5aFic/dzWtzuxFQXqWbxfht5e+YvXL39DJ6esdTl/3HX8dtZ2+nuf0NcCI+f80sZjhoRTuz2HGRU+T8YdZqs765SVmjnmWzHU7yQgR+j9+OU0Hd6Eor4AZt7/hu4ZzpzzBl37XMOhFM8e3Tl/GXOcaTnvjZmq1MvGy4bFRIFCYlUfG5j007HMC2dv3Et+qIfv/2GbK0lRyLoPJQttocBeKcgtMKYvlG/FEhHHekvGERkeixcXMvfMtn0E0YqrJqAxw8bq3ydy854jXJoCO155F8l9ORktKWPfRdFa/NYXw5vUYPeFRwmIjQWHNx9OZ65QIqWw7ZW3by+z73qFOh2b0e3gMEQmxUFxC3t4Mcnal8ce709ju9G9l50RIVATnLPgn3/S7ncLM0kQh9Xq3pfujlxLbpC5hMZFk79jHjOtfC3he/3DJswC0OvckOt84kvDoCMLioihIz2aTsz51uOs80sqtT94x+6szZpudP4B2N45EC4tRLWH1i1+xY/Ii6vRuy5BvHiI/NZPQ2Ei0RFn85MeseXvqAX1d2e+hg/V1CdDnictpPLgLIkL2rlRfKYtA2qnVeSfR2yldoiXK0mc/Z9W/J7pyHckXDqTR4C7Muv41AAoF+j1+Oc1O705kQhzZu1JJ/30bM+94g+Gfjjvq77rmZ/Zk0EvX4AkPozAjm1X/mkhYbCT7lm08qjFbr3dbTv/6QdKcZFZhsZGEhIdRnF/Ihs9mEd+qIQ0HdaIwK49f7nqblIVr3VvDe7elR5DmRJdbRtH5xpFkbtxNeEwkUQ0TyduTzoYPfg74O7soJ58hXz+AhIYgIR5im8VRkl0al30o7nroaRYsWU56egZ1Emtz/VWXct7IYRV+VsKiCImtAwjLnvuK3175li53nXfUfQ2mfEif56/GExZK1pY9/HLbG76yMpfseN+bhnwT0JPjoJRF3fi2QTWS9mWuvQbwj4t5Q1Xf8L4QkWlUvMM6Dvivqtb2+2yaqpYJlhWR84G3gW6YLLGfABNV9ZB+0H9q49BN3m805rhuyBI5/GcCxVMFLZQf5L3wpMLiw38oQHI8wd/Qz/YEt8PDqqCvg60iuwr8KmoXB7+hMkKC29dRgYWHHRFVsT7lB1lHdBW0U2EVtFNsSXDHbE6Q1yYwT36DSVW4ZFVFX0cGuaGq4qapqAraKSbIc2L0iseCKh/g0y7BDwf0Mw6PGxLj2gS1c1Mz1x51m4jI78BgVd0pIg2B6arartxn+gLPqOog5/WlQF9VveFQsq1bqcVisVgsFovFYrEcP3wLXO78fjnwTQWfWQDUFhFvVqlTgFWHE2yNQ4vFYrFYLBaLxWLx4xiPOXwaGCoia4HTnNeISE8Recs5/2LgTuBHEVmBCYl783CCbZ1Di8VisVgsFovFYjlOUNV9wKkVHF8IXO33+gegS2VkW+PQYrFYLBaLxWKxWPxwoRbhcYk1Dl0i2FG2wR6eVZEspiqSSkQHOTA8LeSwGYADpiraKTTI/V0TltPYGpJoJdgJRIqDvvpVzfoUH+R2KpTgt1NEFSSYiyoJ7sRo7skLqnyAPzQmqPKrYv2LrAGLbFWsf1UxJ4Kd9KYqksVcuPzRoOuwHD9Y49BisVgsFovFYrFY/PizVnSwCWksFovFYrFYLBaLxWJ3Di0Wi8VisVgsFovFn5I/6c7hn9I4FJFHgZmqOi0AMWcALwMhwFvl3/SEh9L/lWtJ7NyS/LRMZl/7Ktnb9gLQ8caRJF80GC0pYeH9/2PnjBVEN0qk38vXElWvFpH14tESJXd3OvNue4OON4wgLrkhAOHx0RRk5PDL7W/S75/XEBoZzvaflrLwgffM+7VjGPj6jcQ0qUf2thRmXTOegv05APR87FIan3IiRbn5zLvtDVJXbAKg74t/o8WovojHQ86uNKZd8CTZ2/Zy0qvXUadrK0oKi8jcvIe45vUJiThyfQB1urbijO8fJm9vBnl7M5hz2xsMn/go6Wu2ApC9fR8/j32RxM4tOOmlawhxrmfBg6XyT/7XjcQ2rUfW1hRmXmvkd7z2LFqe29/0Z4iHWm0a82mX60jq2oq+r1xLWHw0hftzWDX+W35/a3KZfun7ynUkdm5BfloWc68dT/a2vYQnxDLgjVtIPLEVGz+dyaJx//X9zeAP7iayfm2iGyUiISFkb9/LvFtL28+fxM4tKt0vFbXT4qc+4cS7L0A8gic0hDXvTOWP936qdDs16NeeIf+5jaytKQAU5xUQkRhPcW4+WVtTqNejNXl7M5hwyn1HfQ2nfHg3Dfq3R0uUzA07mXPzv0lftcUnTzzCiOnPEN0ggby9GZUer3gE8QhaVMK6j6az8au59H3+amIaJaIKM8a+SNd7LqDxKV3xhJr+2bNgLb/e/R86XDuc1s5cW+DMNYCGg7vQ67FLEY+HdR9N57dXv/Odb8PBXRjwfzcQHh/F0qc/Y5XzXrORfehyx7koSlh0JCWFxUc0t+OSGzLg9Rt98uNbJlGUk0dhZh7Z2/cSmRiHqpK3N4Nfb32d/LSsCscoQIcbz6bVRYPQkhIW3f8/djnX0/aqYSRfMgQRYf0HP5cZ8z2euoLki4YAsG/RWn487/EyY/Zo5gRA98cuI/miQYjHw5RRj7oyH+JbN+S0z8YRVb8WuXvSmX7ZCz657a4aRptLBoMIO35aRsPBXQJe/xr0b0+PR8YAEBYTSWyz+uSl7OePtyaTumQ9Jz50MZ6wUFKXb2TRve/Q+6VrSOjSgoK0LOZeM54cp536v2naadMnM1k87r90e+wyGg09kcgGCeRs20dxXgFRjRLZ+MUcFj30/lG1zcGuIaZxHQb95zbwCBHx0XgiwynKymX9R9MJi4mkxQUDCa8Vw+dtrjqqvu5yzwVlZNQb0pUOj1+GhHjY+sHPrB//7QHjqeur11OrS0sK0rJY8veXyd1qxm9ch2Z0fu4qQmOjUS1hzrD7kdAQ+n37kO/voxslsu/LGWx96D/ED+5Gs0evQjweUj6axq7XviyjK7ZPB5o9ciXR7Vuw/voXSPt+nu+9nls+J3eNWYfyt6ew57+TfbJCP5rpm9f+512Z72wv4hHOmPwYuTvTmH75C/Tw66P0P7bRZGh3PmlzdRldle37Fuf0p+MNI0CEouxcfr33XaLr16bnY5cSXjsWLSkhf18G6Wu2Me+2NyjJLzyq6xn160ugENWgNgDLX/jSlXYa9etLFGXlUVJSghYVk7Jwra+N5tz2Bkkntafng5fwSadryU/L8rXR0d4ThMVHE9ukLllbU1j//k+0vvRUirLy0JISSoqKmTbqEdfW2E53nEubsacTFhMJwOav5/LrbW8c0GaV1dfzqbG0+usgEGHnjOXMuPzFgPshLD6avs9fTa0TmoAqv9z+JnsXrSuVGVWLkJg6FO7bBHrw2OL7n3yRmXPmk5hQm6/ff/2gn6sJaI3IoFB5/nRupSISoqoPBmgYhgCvAWcCHYCL4ts0KvOB5IsGU5Cezbcn3cGaNyfT7f6/AhDfphHNR/VlwpB7+OniZ+n11BWIRygpKmHxox+y+NEPSV2+iYL0bFaO/5beT13B7GtfZeLQcUwcOo4t3y9g68QF9H56LL/e9RbfnHQHcS2TaDTEZKnteONIds1exbcD7mTX7FV0vHEkAI1O6UpcyyS+OekOfr37bXo/dYXveNNhPZg+9iV+OO9xCtKyyNuXAcDGL+fy7cC7mHDKfdTv3Y7tPy47Yn1gvjT7PH8V+alZLBj3X+bd8zZ9nrqC4rwCJpw+jgmnj+PnsWbB6/vUWObd/RZfD7iDeD/5nW4w8r925He6wcj/7fXvfTKWPP0pu39ZTWFGDr2eu5qC/dl81eU6clP203RUX2JbNPCdUyunXyacdAe/vzmJrvdfBEBxXiHLn/uMpY9+eEBnz75mPMue+oR9Szawa9ZKNn/3q6/9ylPZfjlYO3W941wmnf0wE04fx8QRD9HphpFENahd6XYC2DP/d187FezP4esBZgzEt0zip0ueC+gaGp3SlbC4KL7oegPTzn8CT3gYfZ+9soy8E64+g8jEONJWb6n0eP124J2EhIdSsD+b7wbfTYtRfTn5jZtZ9a/v+W7QPUwe/iCNTj2RgvRsZl37KnNve4PU37YQGhlO51tH0WJUX74bcg8/XvwsvZ25Jh6h95OX89Mlz/pk1nLmr3iEvs9fze55qyjKLaDFqL7Et2lEXMsGdLxpJFNHPcIf70xj19zVRzy3M9fvZNLQcUwaOo4pZz6AJyKUmVe/zITBdxNZN545173K5KH/YMe0JXS87dyDjtH4No1pNqovE4fcw/SLn6XnU2MRj1CrXROSLxnC1LMeZNJp99FoaDffmK8/oCOtLhzEpFPv5fM2VxKeGEd8m8Zl+udo5kTDU7pSr3dbtk1ZTM6uNNfmQ0KnFmRvSWHlK9+yZcJ8n9xa7ZrQ5pLBTDrrIb4/7R+0HjOE5S9+GfD6t3vuaiYOHcekYfcjHg8FmTlMPPlOmo/uR9/XbmDuta8yeci95GzbS89nr6JgfzYT+9/B72+UbaeVz37GMqedGp7SlbhWSXzf93amn/cEhRnZTB36D7K37WXrxAVH3TYHu4bcPelMHvkwk4bdj6pSUljETxc+SfNR/Uhfs42pw0uTWRxNX2//YYlPhniEjk+PZf7FzzBj4J00Oqc/sW3LjqemFw+hMD2b6X1vY+O/J3LCAxebvw3xcOJrN7DirreZOegufjnnMUoKiyjOzmP2qff5fgq2pZA28RfweGj+xN9ZO+YxVg65mTqjBxDZpkkZXQXbU9h423j2fT3zgPMuySvgt9Nv57fTb2fdVc+UkeWd1/5U9jvbS7urzyBj7Q5fH8U7fbT6jUk0PLnzAed1NH2ftTWFH857nO9PvY8VL31N32evpNeTlzP31n9TlJ1L3t79zLpmPOLx0GJU34CuB4EJg+7m07ZXu9pO0y54gklDx7H8uS+Ib5nEtyfdwbx73qb/C1fT6OTOZDmGjZejvSf4/oz7CY0II2XRWr45+S6aj+qHhIbw4wWPM3noP5h65gOurrGISUj4/aC7+LztVSR0anHEa+xB9bVvSquLBjN52Di+OOFqGvRrT8PBZSsRHE0/9Hz0UnZMX86Ek+9m4mn/YL8zbgHwhCBhUWhxYYVj1p/Rw4fy+ouPH/ZzluOXGmUcikgLEVkjIh+IyGoR+VxEokVkk4g8IyKLgQtE5F0ROd/5m14iMldElonIfBGJE5EQEXlORBaIyHIRuaacqt7AOmADUAB83HRYjzIfaDKsOxs+mwXAlgnzaTCgIwBNh/Vg8ze/UFJQRPbWFDI37aZOt2Ty9qSTtmITTYb1YP0nM9m/bgcFaVmE14ohsn5tn9zmZ/dh56yVhMVFsXfxegA2fj6bpmf09Mnf8KnRu+HTWWWOb/x8NgB7F68nvFYMUfVrk3zhQPL2ZbBr5kr2Ll5PWFwU4XHRAOz4aRkAUfVrU1JUTElR8RHrA2h35ekUZeexf+32MnrLJzeMql+7zPWs/3w2zfzkr3facf1nZeV7aTmqH5u+nkedbskUpGeRMv8PCjNy2fL1PIqy8mg6vJdfv/Rg42fmRmLrhPkkOf1SnJvP3vl/UJx/4MJYlJVLk2E92PTlHDzhoWRu2OVrv0NdRyDtFBYXTUTtWABCIsIQjxBZNz6gdmo6rAfr/caAhHjAU3YJqOw1NB3Wg9/fnkrB/hyfzOjGdXzyohsm0uSMnhTlFvh2PyozXut0Syb9922ERkUQkRDHrjmriKwbz66ZK03f5OTT+JSubPhsFjt+WsYWp0/3LllP/T4nsKmCuVanWzKZm3aTtSWFksJiNn3zC02c+Vu3e2tCo8JZcJ/ZOdn8zS80HdaD1pcM4Y93p1GwP4cmw7qz7r0fgSOb2/60vuI0irLySJn/ByWFxWz+cq5Pd2hUBKgedIw2GdaDLX7yszbtJrFbMvFtGrFvyXqKcwvQ4hL2zFvtG/Mdbzqb/X9sI3P9TqPvizk+fV6OZk40Pas3oVER/PbPrynOK3BtPiT1a8/v70xFi4rJ3r7PJ7dWm0bsda4xsk48JQVFxDWvX+nxBGXXPy91uiVTnJvPrh+XUpSRy/YfFuMJDyFrwy4Ads1cSdKQLmz61LTTtgnzaTCwXDvlmXZqfEYPNjlzcd/idYTFR1OnVxsi68az59ffj7ptDnYNJYXFlBQUUadbMtlbU0AVLSpmyze/ENu0Hnl70gPq632L1/lkJHZLJmfjLnI370ELi9nx9TwalFtrGpzRg21OO+367lfqDugEQN3BXchctYVMx6ugMC0LymWIjWmVRFjdWmT9uoqYbm3I37ST/C270cIiUr+ZTcKw3mU+X7AthdzVmw+QU57ysrzz2p/KfmcDRDVMpPGpJ7Luw+m+9t3w+WzEI7S6YCCFGTmH/b47kr7fu3Ctb/3cu3gdsc3qk7lpNznb9yGhIWybvIimZ/YkNCqcnN1pR309nvBQsrbs8a2NbrVT2b83bWSuZT1xLRqw8l/fg5/7XiD3BHW6JaOqrP9kJiWFZh6ERoUfcA5urbHRSYnkp2WS7bTZFr/vk6PV13hoN/L3ZZDxx3aK8wrZu2gdJ1w9LKB+CIuLon7fdqx3xmpJYbEZnw4hMXUozk49oL8qoueJnakVH3dEnz3eKVEN6s+xSo0yDh3aAf+nqu2BDOB65/g+Ve2uqh97Pygi4cAnwC2q2hU4DcgFrgL2q2ovoBfwNxFp6aejMbDV7/W2qIYJZU4iOimB7B1momlxCYUZOUQkxhLVsPQ4QM7OVKKSEsr8XUlhEYmdmrN38XpydqQS7bxfv0878lL2U1JQTM7OUhnZO0plRNaNJ9f5Is/dk05k3XgAopISyN6x74C/iW1en/y0LE5+6xaGT32ckIgwohsllr2WJnUIjQpnx8/LK6Wv6Zk9KcjIoSgnv8z1hoSHMXzio5z53cM0HdaD6KSEMteTs7P0mqPKyY9y5HsJiQyn0eAubJ64gOikBDI37qJe73aEJ8SSt28/tds3LXM9UUkJ5Pj1S0FGDuGJsRyOJsN70eupsRRm5bFlwvwybVBG9lH0y8HaKbFzc0b+8CTnLXiZla9NwBMSclTtVK9Ha0b88ATNzuhpDEL/86tfK6BrKD+uAPYt2eD7vccjY1j3/o++3ejKtEv2jn1mbOxILf0bEVB847X7AxcRnZRYpk8LM3NJ/svJFKRn+477t1e03xjwHXfmb/LFg8nYsMt3Tjk7U4lqmEBcqyTiWyVx+jcPUr9PO2Idw6Qycxug6ek9fA8BvJ9pclYvzl74Cs3P7c+K5z4/6BiNaphAjl9bm+tJZP+abb4xHxIVTqNTTvSN+dgWDRCPh6ETHuHUL+5HwkIov1YdzZxo0L8DGz+bRXFu/gF9WkauS+tU+ppt1HeuMbZFfTxhoUQ3qhOwXC/RSQmE14ph81fGLTFz/S48YaEkdDXLftMRvQmLiSo7zg7STlFJiWX6KXdnKi3OH8jmb38JStuAccUc8H83UK/PCax+bQK5u9N9Y/eAPjmK9a+0nRLJ9TuHvB37iCzX75ENE8nbvs+nozAzh7DEOGKSG6Kq9P74Xgb88CSt/LwbvDQc3Z/Ub43hEJ6USMGO0t2kgp37CEuqc8DfHAxPRDgdJj5H+++eJmFY7zKyKmqbo/nO7vnIGJY8/hHqGKdmbdlH27Gns23qYrK27kXKlTA5mr73J/miwaSt3krOjlRyd6Wx+l8TaX/9WXS6dTQFmTnsmrHyqK9HPB5qt2/GGZMfo/UlQ1xrJ1Q55aN7OWPyY9Tt0do3P5qe3p2C/TlljBRfOx7lPUFs03pE1I5ls7NLn7MzFQnxMOSjexk2+XGSLxni6hobGhtFVIMEzpz2FH1e/Bv5+7OOeN4dTF9Rdj6hMZE+fTFN6x2wvla2H2Kb1SNvXyZ9X/o7Z059nD7PX01IVARgDE0tKYbiAiwWqJnG4VZVneP8/j4wwPn9kwo+2w7YqaoLAFQ1Q1WLgNOBy0RkKfArUAdoE9SzdpAQD13vuYBFD75PUVZumfdajDY7ZJXhsA8mREjo0IzFj37IpDMfJCQyjMZDu5X5SMcbRlKwP5uU+b8fsb6ej4xhyRMfV1jw6acrXmDi8AeZdcNr9HpkzAEL6ZHI99L09G7sWfgHBenZABRm5LD6/75jyEf30v66EeSnZqLFgdfl2rd4PTOvfJGQ8FDfE7pAOJJ2ykvJ4Luh/+Crk+4g+YKBhNc+8tpcXvmpKzbxRe9bmTB0HFlbU+h+34UBn3t5HV4a9G9PdIParPnPFAAan3YieXsz2L9u51HLLI94hKik2r7xGtusHuG1ost8JiIxjpSFa8ndk3bEesHE2dTr0Zr9f2w74D1PSAhxLZP44bwnyNmRSrf7LyIsProCKQfHExZCYtdWZG1JKXN83+J1fNvzZjZ/OZc2V55eKZkAGet2+Mb84A/uIe23zb4xLx4hJDyUH0Y8xJLHPqTt2MrLL0/tjs0JiQ5nz69rApbl5XD9nrFuB7/93wRO/egeej52GYVZuUc0r4/0wWx4rRjCasewa/py37Fd05fT7ZExnDbxUQqz8gikel3SoM5s+qpya7eXI7mGnB2pLH70Q7Z89wstLxhYoVFR3XhCPCT2aceS619j7tkPkzS8J3UGll1LG43ux76vZ7mib1mfv7Nq+F1suOEl6v7lVEJiKzdfD4d3fSsfaxuREEvzkb35/T9TA9ZR0Rrb+qJBbPzS3OKE14qmybDuLH74AzZ8PJPQ6AhanHvSUetb9uznbJu8iJ8veY62V5xGvJPrIFCmjn6MScPu5+dLniOmaV0SOjQjJCqcTjedTeaWPQHJLt9Gdbu2JHfvft89AcC2iQuYMux+pl/yLG2uGEpodESldBxqjd01YzlbvvuVSUP/Qe7udFqc0z+g6wHI3ZVG+uotPn3Z2/ce+WJ2ECQkhMTOLVj7vx+ZdPr9FOXk0/HGkYREhdPxprMpyTmyXcM/G6oa1J9jlZqYkKZ8a3tfZ5f/4CEQ4CZVnXKQ97cDTUXk78Dfn3zyyaS2BWV3YHJ2pRHTKJFc56lVWHw0+alZ5O40x71EN0ykbvfWdLp1NAKEJ8Sye+5qtk5aaN5vlEjOrjQkxEPT4b2YdMYDaHEJ0Q1LZcQ0SiR3l7kRztubQVT92uaJWv3a5Ds7Nrm70ohpVIcUoO0Vp1G/d1v6v3wNmZt2ExoZ7rth1WIts9PW+fZzCIkMoyi34Ij1tb3iNJoM606TYT0oKShEQkOo07Ulxc55p/1m3IqytqSwa95qIuvElbme6IbmmgFyy8n334ECaHF2qcGcsyuN6EZ12HDnW2z4aAYdbjybpMGdyXBcw7ztEO3XL+Hx0RSkZlXYyW2uGEryJU4ij6UbiKpXi61TFtN0WPcybVBGdiX65XDt5GuD3emk/76NmCZ1Kt1Orc47iTZ+1xDbrB4RCbEUpmaZ89uzv9LX0HR4T9pefhqhUeHk7kknplEdCts3pe/zV5O3N4OMP0wcQ71ebWlyeneaDO1GVAPjGnjS+OvY/uPSIx6vWVtTiG6U6DsPT2gIOTvTfON16+RF1DmxlZknO1PpfMe5hESEMv++d+l4w4gyY9m/vQ44vjONxE4tiKwTT4vR/Uka0JHQqHB6PDKG1a9PxBMSwt4l69GiYrK2phBRO5a4lkmkrdx0yLntP0YandKVjHU7iEiMK/uZneYzm76aw6D37jroGM3dmebbLSu9HvOFvuGjGWz4aAYAXe690PfUPddZOwBSl25AQoSC/WWXwiOdE975EJEQS1hMFAPfvo2S/CIi6sYT27z+Uc+HjjedTWhUOMN/eIJ9SzcQ43eN/n+z/qMZrP9oBlH1azPip6fIdOZ1Zde/8n8DEN+2MQWpmajjOh/dMJG05ZtY7SRbaTCoM60uHlymncL82qn1FUM54YYRhEaFs23yojL9FNuiAVpcUsaIqOxacSTXkLMrjYiEOPb/vpV6fU4oM7Yq29cHI2dXKlF+1xbZqA555fo9b2cqkY3rkOdtp7hoClMzyd2ZSuq8NRSmZgKwZ9pSanVuyb5ZvwEmWY2EhpCzwngeFOxKJbxRXZ/c8IZ1KNxV1kvhUBQ6cyN/y26yl60lMrk0dq6itqnMd3burjSztp3eneaj+hAWG42ECFmb91C3Z1viWjRg1NwXiE5KQEI8jJrzAt+cdAdwdH0PUNtZY38a8xwRCbG0GNWXpIGdyNqaQnhcNDk79rF38Trq9WzDpi/nVPp6APav2Uqzs3qRvy/Dt7am/Fr2ofDRyG16Rg/fd2nmxt3U7dGGPb+sMd9HtWIY/NatRDWozYgpj/P9WQ+Z7/KjvCdI7NySQr9kb9ENE8lcb9aK/H0ZbJu8kOaj+7m2xu7/YzvNRvYFVdZ/8DOtLhrMzp9KHzL5+ryS+opzC/jxnMcAGPL5OLK2lo3JrGw/5OxMJWdnKvuWGFfdLRPm0/HGkcQ1r09ss3qE1nYennhCCa3dhKL07aDFWP6c1MSdw2Yi0s/5/WJg9iE++zvQUER6ATjxhqHAFOA6EQlzjrcVEf9tmwVAG1X9QVX733ffffsift5cRvD2qYtpdcFAc0IjerN79ioAtk1dTPNRffGEhxLTtB5xLZNY+sTHTBo6jrRVW0hdvolI5+axTvdkCjJyyNuTTtLATmSs20HOzlRy96RTmJlL3e7Gn7/l+QPYOmWRT36rC43eVhcOLHO85flmEzV1+UbSVm1hwpB7WffBz0Q3TCQiMY663ZORUA+pyzYC0PriwTQa3JmZV/2zUvr+eHcaH7UYy0ctrmD2da9RkJbF/PveJTclnaLsPPLTzc1IREIs9Xu1JWXB2jLyk8vJT3baMfmC0usBCIuLokHfE9g6ZTFgjJ+4lkkkdGmJJyyEFucPIKZJXTZ/NbdMv7S84GTAuIrtnv3bQQfH2nd/YNqoR5h+ybNsn7yQFhcMpPFpJ1KUX0hBRo7PtcVLZfvlUO1UnFdAQYa5iQ+vFU393m3Zu3h9pdtp88QFvsQ96Wu3ExoTSX5aFnWdsZVf7ov1SK7hj3ensfGLOax5ewrbJi+i9ZghDHrrVla+9h15+zJ97bL0qU/5qufNfNXrFjI37iZ1xSbm3PSvSo3XfUs3UPuEJhTlFZCflkm9Xm0pKSzyGVhJAzqSsmgdrS4YSOuLB9NydD+2/7AEVNk2dTEtys21fUvW+8ZJTNN6ZpyM6su2qYvZ/uNSPu96A7l70vnh/Ccpyi0gZ2cq26YuZuvkRTTo1x6A3bN/I75NI7K27Dns3PZ+EQM0H92Pte//VFb3BQPZNtVcc+NhPchYt/OgY3Tb1EU0Kyc/1ZEfUcfsFEU3rkPT4b18Y37j57N9+uLbNiY0NorN5bwPjnROrH33ByYP/Qff9LyZOde8QuqyjUwb/Qg5O/aRvmbbUc8HVFnz9hQmDh3HtsmLfOtUTOM6ZeaZ9xolLISQ6AgyNuw8pNyDrX/ese9/vvV6tEFCPL5+aTaqr++m2BMeSvsbRrD1219ocaFppybl2mnduz+w8rkv2PLNL2yfZNYKgDrdW+MJD2XTF3PwJ9A13P8aohsmEhIZZsZ1ckPq9etA5uY9NBvV1ze2vFRm/auI1KUbiGmVRFSzekhYCI1G92P3lLI6dk9ZRBOnnZJG9mGvoyPl5+XEtW+KJyocCfFQp397sv4odbFudG5/dvit1dlL1xLRsiHhTesjYaEkjhpA2tQFHAkhtWKQcPPsOzQhjshWjQhNiPPJau7M+fJtc6Tf2fuWrPetb593vI4f//o0O35cxsIH3yehfVO+OPFGZl/3KqkrN1OUW+AzDOHo+j66cR0GvXUrc25+ncwNu3xrWElRMXW7t6b5Of3ZNnUxSQM6sn/d9qO6npCoCPav3UFcyyTi2zSm4eBOxLduFHA7hURFsOGz2UwaOo6pZz9KaFQ48ckNSV+zjZ/Hvkjqys180fsWcnamMmHY/eSl7D+gjSpzT5BwQlPCYqOIdeZy83P6s2uWcbUNiYogaVBnds1c6doam7Mj1bfGNh3Rm5CIsCOedwfTl7p0A/GtGxHTtB4xzetTr0cbfnv12wNkVqYf8lL2m3N1doOTBnZk/9rtpK/ZxhddbqAobStFaVuhpIii9G3WMHTQIP87VpFjeVuzsohIC2AysBDoAawCLnX+76mqe53PvQtMUNXPHcNwPBCFiTc8DcgBHgdGYnYRU4DRquq/zTIc+Ccmc+l/Pmg05vEud53HvmUb2T51MZ6IMJNmuFML8tOzmHPdq77djo43n03yXwehxSUsevA9dvy8nHq923L61w+StmoLUUkJhMVGkrs7nVl/e4XU5Rvp+9LfSRrYka963gJAYpeW9P/n3wmJDGfHz8tYMO5/gNl5HPj6TcQ0rkP29r0mFbbjXtHryctpNLgLRbkFJg36cmMEDnrnNpMJrETZOXMlM//2MiWFxVyy/T2yNu+hMDuPkMhwwuOjKcrOO2J9XkbOeJbwWtHk7ctk1VuT6HD1maiWEN+qIfPH/Zd1H8+gTpeW9H/p7ya198/LmH+/kR+REMvJXvnb9jLj2lL5yRcOpNHgLsy6/jWfrmZDujDgzVuREA8FaZnMu+lf1O93Aql+/dLvletI6NScgvRs5lw3nmynX0b++k/CYqPwhIdSuD+Hny96moK0TE7+352EhIcR1TABCQkhZ8c+5t5a2n7Df3iCiUPHHXW/VNROf7z3I23HnIKixLdqyIIH32PtBz9Xup3aXTGUdpedSklxMcV5heTsSiOxQzOKcgvI3Z1GQvtmRCTGosD8e99h/UczKn0NI6Y/Q63khhQXFpG9fR9FWblMOvPBMu3SZswpdH/wIvL2ZlR6vOLx4PEIJUXFrP94BnuXbuCk8ddRnFfA7rmrWfDA/+j3wt9oNqI3JQWm7EpJYRFbJy5Ai0t8c22hM9fA7OL1fGQMEuJh/cczWPlK6Rev9724lg1Y9uzn/PbKt3S56zxqt29GfKsktKSEoux8IhLjjmhug7kpOWfBP/mm3+3U69WWHo7u4vwCUIisE2+u/8qXyE/LOugY7XDzKFr9dRBaXMziB99n588madSpXz1AREIcJYVFLHnkA9/NhycshMEf3kPdXm1BYdOXc5h/x5t0vuu8o54TGU7MZI8nr6Dxad2IrBvPlNGPuTIfIuvVYtTcFwiNCkcV8lMz+fakOynMyuUva98ie/s+tLCIP977iXZXnObK+hfTpC7DvnmQhXe9TTenXzZ8PIPw+Gha/uVkivML+f31iaz734/0HX8dtZ12mndtaTuNmP9PQv3aKeXXNdTplkxRbgHhtWOYfuGTpK7fFfBaUdE1JJ3ciR4PXgyqhMVFERoVQWF2nu8aWl96KqExEeTuSmfDpzOIT25Uqb4+8f6LaD66P1FJtcndlU7a3FXU6paMhHjY9tF01v3za9refT7pyzayZ8oiPBFhnPjq9cR3bkFhehaLrxlP7mbjOtj4vAEk3zwKUPZMW8qax0qzow6Z/0/mX/wsMZtKY5ZrndKdZo9cBR4Pez/5kZ2vfE6jOy8iZ9k60n9YQEzX1rR++x5CasWi+YUU7klj5Sm3ENuzHc2fvs6k4xcPu9/6jsI9aT5Zaz6e6ZvXR/ud7U/9fu3pcO1wpl/+Ar2evJyGfn009ItxfNLm6oD6vu/zV9N0eC/jXghoUTHLn/uCHo+MIaJOHFpcQl7KfrREWfHil2yduLDS1xPbrB4nv30robGRRDc0cW+r/z0x4HbyygWQ0BA2fTWX6KQEXxvNvf0N9i3fyLm/vERhdh7fnWrKKgVyT7Dh89n0emQM4vGwbfJCkgZ2IrJeLUoKilj3/k+s+fdE19bYvq9cR73e7YhqUBstLuH3/0xh+ZOfHPEaezB9Z/70NHGtGgLKxi/m8usdbwY8XhM6NqPP81fjCTOJh3657Q1foqMLlz8KQGhCU2fX8OBu+3c99DQLliwnPT2DOom1uf6qSzlv5LCDft5LWN1WctgPHWNERDYNqpGUn7f1mGyTmmgcTlDVTlWt+4NGY4LakDWhl0qqYAqEBXk8F5dPPRcEqqKdPDVhQAWZqlixPTVgZlfFnKgKgr12FErw2ymkCsZTvAsx3IeifmheUOUD/KFHHr99NFTFrK4Js664BtwTVAUlVdDbXuMwmByPxmF4RJOgDqCC/G3HZJvURLdSi8VisVgsFovFYrFUkhqVkEZVNwFVvmtosVgsFovFYrFYag41ybuyMtidQ4vFYrFYLBaLxWKx1KydQ4vFYrFYLBaLxWIJlD/nviHBL/Bofyr+Af5+vOuoCddg2+nYkF9TdNSEa7DtdGzIryk6asI12HY6NuTXFB014RqqSof9qZ4f61Zaffy9BuioCddQFTrsNfx5dNSEa6gKHfYa/jw6asI1VIUOew1/Hh014RqqSoelGrDGocVisVgsFovFYrFYrHFosVgsFovFYrFYLBZrHFYnb9QAHTXhGqpCh72GP4+OmnANVaHDXsOfR0dNuIaq0GGv4c+joyZcQ1XpsFQD4gSVWiwWi8VisVgsFovlT4zdObRYLBaLxWKxWCwWizUOLRaLxWKxWCwWi8VijUOLxWKxWCwWi8VisWCNQ8sRIiKJh/qp7vM7UkQkRERuq+7zOB4QkZOO5FiAOioaT2Fu6jjeERGPiPQPso6WR3IsQB2RFRyr67KO5iJymvN7lIjEuSk/2IjICSJyj4i84vzcIyLtq/u8KoNzDaeKSGy542e4qKO3iPRyfu8gIreLyHC35Feg73/Bku3IH+Bcw+kuyrxZRJq6Ja8C+eEicpnffLtYRF4VkRvcXMNFpJWI3CkiL4vIiyJyrYjEuyXfUnmO93XWcnhsQpoqQETOPdT7qvplgPJvP4z8FwOR7+jYCCggFavQVoHq8NMlwCVAK1V9VESaAUmqOt8l+fNVtbcbsiqQHfS+cPS0Bf4FNFDVTiLSBThbVR93Q76jY7Gqdj/csQB1bAKaAmmYsVUb2AXsBv6mqosClP8l8DYwSVVLAjrZg+toADwJNFLVM0WkA9BPVd92UccSVe3mlrwK5FfU14tUtYeLOlZg+vQX5/V5wFOq2tYl+X/DFGVOVNVkEWkDvK6qp7oh39ERtHknIvcAFwEfA9ucw02AvwIfq+rTgeo4jP6xqvpOgDJuBm4AVgMnAreo6jfOe66sHSLyEHAmEAr8APQBfgaGAlNU9YkA5X9b/hAwBPgJQFXPDkS+o8P3HeSM2xuAr4DTge/c6GsR2Q9kA+uBj4DPVDUlULl+8j/A9EE0kA7EAl8Cp2LuLS93QcfNwAhgJjAcWOLoOge4XlWnB6rDUjmqYp21VD/WOKwCRMT7hVsf6I/zJYP5wpmrqiMClP/Qod5X1UcCkV/ViMi/gBLgFFVtLyIJwFRV7eWS/JeAMOATzJcnAKq62AXZ3r5oB/QCvDcaI4H5qjomUB2OnhnAXcC/vUaDiKxU1U4uyO6HGae3Ai/5vRUPnKOqXQPV4afrTeBzVZ3ivD4dOA94B3hZVfsEKP80YCzQF/gMeEdVfw/srA/QMQlzvuNUtauIhAJLVLWzizqeB+YBX6qLi7aInAB0BJ7FjCcv8cBdqtrRRV2dgf8A04FGQB3galXddqi/q4T8pUBv4Fe/ObHC5X4I5rz7A+ioqoXljocDv6lqm0B1HEb/FlVtFqCMFZgHI1ki0gL4HHhPVV926wGHo+NEIALzIKmJqmaISBSm77sEKH8xsAp4i9IHoh9hjHRUdUYg8h0dS/zGzwJguKqmiEgM8IsbY1ZElgA9gNOAvwBnA4sw1/KlqmYGKH+5qnZx1rvtmIdjxc7D3WWB9oOjYwVwoiM3GpioqoOdB8bfBPOBmaN/kqqeGaCMeOA+zIOeSar6od97/6eq1wd4mohIEvAQ5r7pQeAmzPfoaswDmp2B6vDTtZQgr7OW6ie0uk/gz4CqjgUQkalAB+9EFZGGwLsuyK8y489vV6+lqj7m9q6eQx9V7e58uaGqac4Nkluc6Pz/qN8xBU4JVLC3L0RkJtDd+wUsIg8D3wcq349oVZ1vusNHkUuywzFPgUMBf3eRDOB8l3R46auqf/O+UNWpIvK8ql4jIhGBClfVacA0EamF2ZWZJiJbgTeB98vfiB8ldVX1UxG5z9FZJCLFLsj15xrgdqBIRPIwN6yqqoG6V7XDPJmvjXmA4SUT+FtFf3C0qOoKEXkCeM+Rf7JbhqFDvqoWeOeEc9Pq9tPPYM67EozRvLnc8YbOewEjIssP9hbQwAUVHlXNAlDVTSIyGPhcRJpTsdfJ0VCkqsVAjoisV9UMR1+uiLjRTj2BW4BxmAckS0Uk1w2j0A+P89DTg3lInwKgqtki4tZ4UsdbYiow1XH1PBOzDj4P1AtQvsf5Xo7B7B7WAlIxRruboQGhQLEjNxZAVbeIS66rInKw3Wyh9F4hEN4B1gJfAFc6HhMXq2o+5qGlG7yLub+Iweyif4DZaR0NvA6MckkPVM06a6lmrHFYtTQt9wRnNxDQk1p/xMT0XIXZCfDF96jqlW7pAP4PZ1cPeAxzk/cFZpfMLQpFJARnwRGRerh0cwSgqkPcknUIGgAFfq8LcOfmy8teEUmmtI3OB1x5OujcBM0QkXdVtfyNqtvsdNzpPnZe/wXY7fS/WzfEdYAxwKUYt6QPgAHA5cBgF1RkOzq8fdEX2O+CXB+qGpSYDsfl7xsR6aeq84Khw4uIvA0kA12AtsAEERmvqq+5pGKGiPwDiBKRocD1wHcuyfYStHmH2an/UUTWAludY82A1sCNLuloAAzDuHH7I8BcF+TvFpETVXUpgLODOAKzY+zWzkKBiESrag5mZwwA5wFQwGuGY1C9JCKfOf/vxv17pVqYXTwBVEQaqupOMXGabhnRZeQ4D8K+Bb51duEC5W1gDRCCMaQ/E5ENGIPn40P9YSV4C1ggIr8CA4FnwHdPkOqSjgXADCpu99ouyE9W1fOc378WkXHATyISsHuyHw1UdTyAiFyvqs84x8eLyFUu6oGqWWct1Yw1DquWH0VkCsatA8yN8DQX5b+HWayHYXbFLsG4FbhJsHf1AF7BxF/Ud3Yazgfud0u4cxPxEHCyc2gG8KiqunlD/z9gvoh85bwejQu7xH7cALwBnCAi24GNGAPITSJE5A2gBX5rhaoGvMPqx8WYvvjaeT3HORYCXBiocKf922Hmxki/hzOfiMjCQOU73I656UoWkTmYJ/Ju77Di7DS0oeyDn5kuiV/nfOG3oGxfu/lgaQXGjVSBjSLSB3AlBtfhXszDsRWYndaJmJtLNwnavFPVyWJiGnsDjZ3D24EFzk6ZG0wAYr3Gmz8iMt0F+ZdRbidVVYuAy0Tk3y7IB7PjnO/I9jcGwzAPfFzB2dW+QETOwnhNuIaqtjjIWyWYeDo3+Msh9OcEKlxVXxKRT5zfd4hJ2nMa8KZbnkSOO/I0oD3wgqqucY6nUPr9HSirgWtUdW35Nxwvk0CJEBGPd6yq6hPO2jETZyfUBfyTS5ZPnhTikg4vVbHOWqoZG3NYxYhJTjPQeTlTVb861OcrKXuJqnbziwUIA2apqluuCzhP8Ppjbli6O0/wprrt+y8mFupUzNO8H1XVNSNXRL4AVgL/dQ5dCnRV1UMmDjoKPd0p29dL3JTv6IjBuHIFFD9yENnLMC4pizBuPQBogEliqgoR8QD/UBeT9BxCVyjGCBXgd5fcVf3lX41xdWsCLMU8nZ/nlqEuInOBWRzY11+4Id9PT1dK58QsVV3msvxw4ATMzt7vqlpwmD85Wj1Bm3cWi6XqcHb/V2gFsegiMlpVvw5Q/rOYe6Rp5Y6fAYxXF2KJReRR4FmvS7ff8dbA06rq2sNKZ+3L8z6wcrx8Itx44GA5drDGYQ1CnAxoTrzb9Zhg/fnqbibRSzBPJLtjjKvzgftV9TMXdVRUGiPTrRtuEVmqqice7thRyo5XkxyhwvIeqhqQK4xUUTZUR5er2SoPoqMtcCdB2p2UIGf5dHREYubbAIxRMguTvS3PRR0rMK7bv6jqic7DkyfdeqDh1vg/jI6bMVnuvNmZzwHe8LpDuSD/LMzDjPUYI70lZkdgkhvyHR1PYm7C0p3XCcAdquqaZ4PFYjk2EBcy+Fan/GDoEJFfgNO8hqjjCj1VVYNabslStVjjsApxdg2fwWQtFdxLKuGVfzUm/q8LJgg6FnhQVV93Q76fnqDt6jnyNxHc8gbzMIkGZjuvTwKeV9V+gch1ZE1Q1RFSWvrD9xYulPyQKsqG6uh6GNiDcfHN9x4P1MAtpyOou5MSpCyf5XR8iom9fd85dDFQW1UvcFHHAlXtJSZTXB9VzReR39SlbKIi8jgmc/JEN+QdRMdyTCbLbOd1DGb3M+Csho68NcAIVV3nvE4GvlfVE9yQ78g84GGDuFzexWKxHBuICxl8q1N+MHQE8+G65djBGodViIisw8Q9uR0HGHQOthPmxWWDIdjlDU7E7HrWwhhtqcAVbru4BRNnd/gsLc2GGoe5EXYrDgPHwC1PwAZuOR1B3Z0UkUxMBrciwM0sn/46Vqlqh8MdC1DHV5iSHLdikkGlAWGq6krhb792KnB+gtFOK4Be3h1VZ8d1gbqUAt1rQPu9FswDE9eSZTkGbi9vzJuY8gkL3TLSLRZL1SKHzuDbVlUDypodbPlVpcNP1xzgJnVKf4lID+BVNx6uW44dbEKaqmV3MAxDERmjqu8fzOXQJVfDRZTWfGpG2V29LRgXLrcIdnmDpUBXMfWHUCcVups4cY1vA5M1OMXXg50NFVV1s08Pxncicj1B2p3UIGX5LMdiEemrpcXd+wBuJbsBQFW9SSoeFpGfMQ82Jrsovyra6R3gV8fQFUx69bddlL9QRCYCn2LWqgswmQ7PBVDVLw/1x0fIB5jEYl43rbGUxi5bLJbjj2Bn8A22/KrS4eVWTGbaHY78JA6R/MhyfGKNw6ploZPd62vK3ggHetMS4/wftBs8r6Hg7Op95XU/E5EzMZk43SQo5Q0OZjyLU6/HzXg94F+YG8fxYlKiv1NRwHsA+GdD9d5ov+uifETksoqOq2r5bGiB4M0u6F+AXQFXdidF5EdVPfVwxwKkBzBXRLY4r5sBvzs7Zeqi2+QAoI2qviMmEVRjTLZMN2SXr1/aFGioLtYvVdUXxWTE9MZmjlV3kzRFYlzPBzmvU4AojMu1UhrreNSo6jPOU3rv+HnM6+FgsViOS4KdwTfY8qtKBwCqusAJLWrnHHI9AZul+rFupVWI39Nmf1RdSBfvGE43q+pLgco6jJ4V5d3AKjoWoI66mPIGA5xDc4BHMLXjmnljio5C7kOHel+dAvZuIqXF18dhape5VnxdSrOhKibzo6vZUEXEP1FIJOaGeLG6mPksWDgui9GYgsCDwVfDKh6zm+tmHFrzQ72vLtSKdMZuT6CdqrYVkUbAZ6p6UqCyHfn/wqlfqqrtnUQrU910yXT0eMdsCTDH65rkkuw6qrrPLXkWi8ViMYjIKar6k9cTozwueWZYjhHszmEVoqpjgyi7WEQuAoJqHAI7ROR+SpNvXALscFOBqu4FbjrI20dlGDpyXTf+DoUEv/h6MeYmW3GpYLw/qlqmD0SkNi4VN66CL5prMO4vjSgtNg2mXtmrAcouz83A26q6ymW5/pwDdAMWg6+umJueAkGvXyoiD2JcPb/A9Mc7IvKZuldq5BcnYc87wCQ3ExCJyGxVHeDEZlaUaMq12EyLxWI5BhkE/ITxxCiPK54ZlmMHaxxWIc5uxlVAR8oWsnar0PQcEXkV+ATI9pPv2tN5zC7YQ5gYMTCFXC9yUT6Oy9zdHNhObpU3aAKMB7y7LrOAW9QUPXYFCXLxdRG5BfgbpTfa74uIa2UBDkI27sWWBvWLRlVfBl4WkZuC3CZgiii/KabW4TvAR6q632UdBaqqIqLgy/TpJoWO94FXfj3cf+BwCaaeqDchzdOYmo1uGYdtMUW4rwReEZNF9l1V/SNQwao6wPm/KmIzLRaL5ZhCVR8SUzt4kqp+Wt3nYwku1q20CnFiz9ZgUt0/irlZWq2qt7gk/+cKDqtbRlU5XXGO7KzDfrjysqdiDNw7gWsxO20pqnqPS/J/AD7EGG5gdvcuUdWhbsh3dAzXcmUBRCTCm+XQBflBLQvgyPyO0l2SEKA98Kmq3uuijpaquvFwxwLU0Z8D6yi6GTfp1dMOE2d6EcYV+k1VrWhOHo3sO4E2wFDgKYwB9KFbhq9UTf3Sn4FztLRGYG1MiZFgrE9DMN4NMcAy4F5VnRegzBDgNzddki0Wi+V4QkQWqmrP6j4PS3CxxmEVIk6NLBFZrqpdRCQMEyvWt7rP7UgRkc6YZCje0hZ7gctVdaWLOhapag9vOznHyqSpD1B+0Ov0SAW1zyo6FoD8oJYFcGQO8ntZBGx2c3fV0VFRO7lW3kJE3gOSMTtU3jqKqqo3uyHfT08IMAJjHDbFZMwcAGSr6l9d0jEUOB2zUzxFVX9wQ66f/KDUL3ViVxWTqKcX8IPzeiim1ESFrsVHocffjXs3JhPqt8CJmPjMgHe9ReQbTBr3LYf9sMVisdQwHI+PvRzooeZaOTNL9WPdSqsWbxKSdBHphCnsXt8t4SLSAHgSaKSqZ4pIB8zukpvp4v8N3O7dERGRwcAbQH8XdXjbaaeInIWJaTxkncVKsk9ExgAfOa8vAlxJZCEiSZgsklEi0o2yiVCi3dDh4F8WAEzGWDf7GVWd4Ywpr1G+1i3ZjiHSEahVLu4wHj9XYhfoCXRwM/6sPCLyEsYw/Al40i/D5zMi4kqGWhG5CZPIyFWDsBy7MS7WoZjx290ll3SvG/UiSt3RAaa7INufeRhvgNHlHmIsFJHXXdKRAPwmIvMpe2N0tkvyLRaL5VjmL5iHe9eXO+5a/WNL9WN3DqsQEbkaEyPWGVN2IBZ4QFX/7ZL8SRijYZyqdnVioJa4vJu0TFW7Hu5YgDpGYG5Sm2JiA+OBR1T1W5fkN3fk9sMscnMxuwFbXZB9OXAFxijxjy3MxMQ/uRa07WR+9GZ0DUa20guB5zA38YLJMnmXqn7uguxRGIP2bMzujpdM4GNVdaU2k+PKfbNfzKfriMhYjLttdgXv1XIj/lBEHgf+iklI8x/MzqGbCVcew4zb9ZS6Ervmku7srP5PVS9xQ95BdFxYPhZGRC5w2TV2UEXHVXWGWzosFovlWEVEojCGobck0SzgdVXNrdYTs7iKNQ6rCCeQ9/xgBvJ6XS+97qvOMbfdJb/C3KD6x+v10NIi3cc8IvJf4FZVTXNeJwLPu5gYCBE5T1W/cEteBfL7YuKfMp3X8UB7Vf3VRR3LgKGqusd5XQ+Y5vKDgH6BxoIdRv7PGLfC+ZStLeraTo9UTS1Fby3C0zGuqz0xrqtvq+p6F2T/DnRW1YJAZR1Cx2xMqYyg6Ai2K7efzCSgN+bGaIGq7nJTvsVisRyrOIm+MjDZ18Hk0KilqhdW31lZ3Ma6lVYRqloiIndjbuiCRbYTd+PNONgXUxvQTa7E1Bz0Gj6zMDerriEibTFF5BuoaicR6QKcre6lvO/iNQzB+Mo7LqABIyJjVPV9oIWI3F7+fVV90Q09mPbxv+nNquBYoHi8hqHDPsDjonyAJSJyA8HL4PuwS3IOQEprKdYVUxfQ34W4sdv6VFVFZBfGHb0I4+L4uYj8oKp3Byh+JVAb2HOYzwXCBkxG5W8p65IZ0JwQkTOB4UBjEXnF7614TDu5huP98SDGhViA8SLyqKr+x009FovFcozSSVU7+L3+WUSCWcbJUg1Y47BqmeZkHQxWIO/tGBe9ZBGZA9TDZB10k2SMu6cHM35OBU4BXMuSiSkUfxcmvhFVXS4iH+JeynuPiCSU2zl0ay54SwzEVvCem9v04u9W6Dx8cHs+TxaRKZTGZv4FmOSyjvcwGXyH4ZfB1y3hQXb386+l6B+b53otRTGlSy7DJAJ4C+PeW+h4JKzFlH4JhKcwhvpKgrTDinFZXY9ZO9wsCbEDE894tvO/l0zgNhf1gFmXuqnqPvAlwZmLcfW1WCyWms5iEemrqr8AiEgfyobQWGoA1jisWoIdyJsMnIkx3s4D+uB+H3+AKTGxkiAUXneIVtX5xovOh5s7AC8A85x4NDCFuZ9wQ7Bf/GgrTO3EdABnZ+kFN3Q4bBCRmzG7hWDG1AYX5aOqdznJYrxxjW+o6leH+pujoLWqXiAio1T1v85DgFluCZeyRcvDgTBMBtGAi5Zr1dZSTATOVdXN5c6hxInRDZT/As8AKwjSvFbVR4IkdxmwTETeV1VXdworYB/G6PSSiUvJrCwWi+U4oAcwV0S8GZubAb87GdRVXSynZak+rHFYtXSggkBeF+U/oKqfOYbIEOB5jPHQx0UdKar6nYvyKmKviCRT6h57PuBaQhFV/Z+YQvTeZBvnqqrbbhFdvIahozPNLddVh2uBV4D7Me30I/B3F+UjIi2Bid4kOiISJSItVHWTi2qCmsFX/YqWOzF7owC3S8f8R0TuB5qp6t9FpA3QTlUnBCrY2dUGeLnca8B4HbhUciJHVV85/MeOHidm9W4OdCEOKOmN96bE+f2A912+WVmHyRL8jaNzFLDc60Luotu4xWKxHIucUd0nYAk+NiFNFRLsQF4praP4FLBCVT/0T07jko5TMaUffqSs+5mbWThbUVoeIw3YCIxx2SgJKk4yl8HlXFdnuJE5tioyPzp6FgL9vQlERCQcmKMu1Zt0ZHoz+HbBZNqNBR5UVTcfmpTX6fac+ATjzniZEyMbDcx1IxGUiGykdOezvOWjquqK14GIvIiZz99Sdl67UcrCq2MqxqX+TszDjcsxD5vuCVBu80O9X363NUBdDx1GV1B2Ry0Wi8ViqSrszmHVEuxA3u0i8m9McelnRCQC9xOIjAVOwLjned3PFHDNOFTVDcBpIhKDSYqSebi/OQYJputqsYg0F5HwYGaXBEL95atqgWMguoaqvuX8OoMg1EmSsjUUPZgsn3kuq0lW1b+IyEUAqpojFW1hHQXqQuH2I8RrLPvvqiqlu+tuUEdV3xaRW5xY0BkisiBQoW4af0fA+25kh7VYLBaL5VjFGodVS7ADeS/EbPk/r6rpItIQk0DBTXqpajuXZQJQUXZP5zhwfLlsVYHralAyP5YjRUTOVqe+pJjahHtdlI+INACeBBqp6pki0gHop6pvu6RipN/vRcAmjCugmxSIqf3kdW1Mxm/3zQ0cY/MSoKWqPiYizYAkVZ3vhnxVHeKGnMPgdSHeKSJnYRLJJB7i80eEiMxW1QHl4kvB7LSqG/GlfvxHRJoACzBhATNVdYWL8i0Wi8ViqVasW2kV4BcTEwa0A7Y4r5sDa8rtJh7TiMg7wHNBiNGzLluV4GBt5WYbOUbOB5hsnADbgEvd3DkRkUkYd9JxqtrVybi6xA3326pCRIZiYj87AFOBk4ArVHW6izr+hdmpP0VV2ztxxVPdcvGtAiMdJ3HOLEzCrPGYUhOPeB8+uKTjRGCg83Kmk6zGVZzd817AYEzG2lhVDdjItVgsFovlWMAah1VAVcbEBBsRWY3JiroRszvifTpvM1TVIJy4xmdU9U4RiQVQ1awg6Fmgqr384wBFZKkb8XqOrCYYQ+Qk59AsTBbZbW7Id3QkYuZBX+f/X4A4Vd3ooo7Fqtq9XDstU9WuLsmvCUb6zcDfMC7uAowG3nQzk6yIDMAYnwMxdSGXArNU9aND/JnFYrFYLMcN1q20CjiejL8jIGiZqkTkblV9VkTGU0FNQFW9OVi6jzeClfnRT06xcyMcFKPQj2wxteK8Lpl9gf0uyn8H+BAT8wkwxjk21EUd3wFnqur3ACLSHvgM6OSijkLHYPe2Uz3cLTlRV1U/FZH7AFS1SESKXZSPiLTFZE9u4CTu6QKcrapu1S+9GuirqtmOvmeAeZiHA24xHZN86ClMJt9gxvxaLBaLxVLlWOPQUimCbOh6U/IvxN2C8TWRDzCZH0fgl/nRZR1LnJjGzygb1+ha8iHgdkyGzGQRmQPUA853UX49VX3H7/W7InKri/LBuGN+JyLDMcma/oeJD3STV4CvgPoi8gSmje53UX6wjXSANzEx0P8GUNXlYupaumUcCuBv0BZzYIbXQKmL2YU+GbhZREqAear6gMt6LBaLxWKpFqxxaDlm0NL6iauAfwAtKB2jirnpthiCkvmxHJGYAt/+u5GuZqbFuCifiYlDOw9Tk9PNdWmfiIwBvG5/F+Fy0XJV/V5EwoAfgDjgHFX9w2UdH4jIIuBUHJdJl+obegm2kQ4QrarzyyVydbNo/TuYGoRfOa9HA67FTAI4ib42YMZrE0y5nTA3dVgsFovFUp1Y49ByLPI+ZodhBe66ztUkgpL50R9VHeumvIPwgKp+5iRYGQI8j3E97OOS/CsxboUvYQzbucAVbgiuwP25FrAeuFFEXHGDlrJF7/dQauQiIomqmhqoDjD1DEVkECZhlgC/q2rhYf6ssux1khx5dyfPB3a6JVxVXxSR6cAA59BYVV3ilnwAxzBcA8zGjNOx1rXUYrFYLDUJm5DGcszhTU1f3edxLHOQzI8P++2+uqEj2DFivoL0IvIUsEJVP3SzSL2I/Be4VVXTnNeJmFIvV7og+/JDva+q/3VBx0aMMSVAMyDN+b02sMWtOogicgPwgaqmO68TgItU9f/ckO/IbAW8gdltS8MktbrkeIrJFhGPqtoHVhaLxWKpsVjj0HLMISKnYtz/fsSvXpzLsW7HNY7Rc4vfzbxrRo+fjhk4MWJ+GTJXqqpriVZEZAKwHZMgpjuQC8x3MQvnAYamm8ZnVSEibwJfqepE5/WZGNfSa1ySf0CGWLfbya+OaRTgwcSx7gcWqepSt/QEk6p4YGKxWCwWS3Xiqe4TsFgqYCxwIiYz6kjnZ0R1ntAxSBevYQjguBe6bfBEV1Bk3c0YMYALgSnAMOd6EjEGqVt4nF0wwGdEu+pOLyJtRORzEVklIhu8P27qwGThnOh9oaqTMDtwbhEifsGATmbUcBflA/TEJE9KwOx8XoOZ42+KyN0u6woWbwL34bh1q+py4K/VekYWi8VisbiIjTm0HIv0UtV21X0SxzgeEUko5y7p9nwOaowYgKrm4JfgRlV3uqzjBWCeiHzmvL4AeMJF+WASoTyEiWscgnm44faDtx0icj8mHhdMNtQdLsqfDHwiIv92Xl/jHHOTJkB3b2kUEXkI+B6T+XMR8KzL+oJBsJPqWCwWi8VSrVjj0HIsMldEOqjqquo+kWOYqjB6bsDEiJ0gIttxYsRc1hFUVPV/IrKQ0oyr5wZhXEWp6o8iIk783MNOZtEHXdRxEcYA9WbinOkcc4t7MAbhdc7rH4C3XJQPUB8/N3HM7lsDVc0VkfyD/M2xRtAfmFgsFovFUp3YmEPLMYeIrMaUONiIuZkUQFW1S7We2DGGiHSg1Oj5yS2jxymP8bKInKSqc0QkBvCoaqYb8msaIjIXkyHzc+AnTAzl08HY/RaROMxcyHJbdrARkQeAc4BvnEMjMeUzXgDeUNVj/sFDTUiqY7FYLBbLobDGoeWYQ0SaV3Tc3oBVDd7kJCKyWFW7V/f5HOuISC9gNSaO7jFM5thnVfVXF3V0xtT59Ja22AtcrqorXZLfBngK6ICpbwmAqrZyQ76fnp6YIvIAc1R1oZvyg42IRGDqP7bA9EUGxlh/tDrPy2KxWCwWt7BupZZjDmsEVjurRWQt0EhElvsdtzu4FaPAe0BzSguivwm42U7/Bm5X1Z8BRGQwpTtYblAVcZM4xuBxZRCW4xsgHViMuzGfFovFYrEcE9idQ4vFcgAikoTJInp2+fes8V4WEfkdk2F1BeCrgedmO4nIsvLlPSo6FoD8RaraQ0RWqGpn/2NuyK8puF3KxWKxWCyWYw27c2ixWA5AVXcBPsPDKQfR1EndbylLiqp+G2QdG5yYvfec12MAN8tl5IuIB1grIjdi4iZjXZRfU5grIp1VdUV1n4jFYrFYLMHA7hxaLJYKEZHpmJ3DUEypgT2YOLHbD/V3fzZE5FRM5tAf8cvGqapfHvSPKq8jAXiE0ni9WcDD/rUuA5RfPm6yFiZu8hc35NcURGQV0BqbLMtisVgsNRRrHFoslgoRkSWq2k1ErsbsGj4kIsvtjXBZROR94ATgN0rdSlVVr3RRR09gHCYRitfjwxolVYxNlmWxWCyWmo51K7VYLAcjVEQaAhdiDBNLxfQKRtmKcnwA3AmsxC+uMVBE5Ducmn0VoaoHxJz+mbFGoMVisVhqOtY4tFgsB+NRTFKa2aq6wKnxtraaz+lYZK6IdHCrzuRBSFHV74Ig9/kgyLRYLBaLxXKcYt1KLRaLJQBEZDWQTBDj0KoorjEc4x6rwO+qWuCWbIvFYrFYLMcHdufQYrFUiIjUA/5G2Tg33IylqyGcUQU6xmIMtzD84hoBV4xDETkLeB1YjzFuW4rINao6yQ35FovFYrFYjg/szqHFYqkQEZmLyYq5CCj2HlfVL6rtpP6kiMjvwYxrFJE1wAhVXee8Tga+V9UTgqXTYrFYLBbLsYfdObRYLAcjWlXvqe6TsADBj2vM9BqGDhuAzCDpslgsFovFcoxidw4tFkuFiMjjwFxVnVjd5/JnJ9hxjSLyL6A58CnGXfUCYAswDdyNbbRYLBaLxXLsYo1Di8VSISKSCcRgjJFCSg2S+Go9sT8hwa6vJyLvHOJtV2s2WiwWi8ViOXaxxqHFYrFYLBaLxWKxWPBU9wlYLJZjFxFJEJHeInKy96e6z8niPiLyrIjEi0iYiPwoIikiMqa6z8tisVgsFkvVYo1Di8VSISJyNTATmAI84vz/cHWekyVonK6qGcAIYBPQGrirWs/IYrFYLBZLlWONQ4vFcjBuAXoBm1V1CNANSK/WM7IEC2/m6rOAz1R1f3WejMVisVgslurBGocWi+Vg5KlqHoCIRKjqGiBotfYs1coEp9ZhD+BHEakH5FXzOVksFovFYqlibEIai8VSISLyFTAWuBU4BUgDwlR1eHWelyU4iEgisF9Vi0UkGohX1V3VfV4Wi8VisViqDmscWiyWwyIig4BawGRVLaju87G4g4icoqo/ici5Fb1v6xtaLBaLxfLnIvTwH7FYLH82RCQE+E1VTwBQ1RnVfEqW4HAy8BMwElCcWpZ+/1vj0GKxWCyWPxHWOLRYLAfguBb+LiLNVHVLdZ+PJWhkisjtwEpKjUKc3y0Wi8VisfzJsMahxWI5GAnAbyIyH8j2HlTVs6vvlCwuE+v83w6TmfYbjIE4EphfXSdlsVgsFoulerAxhxaLpUIco9C/1p0Az6hqn2o6JUuQEJGZwFmqmum8jgO+V9WTq/fMLBaLxWKxVCV259BisRyM0PKxhiISVV0nYwkqDQD/REMFzjGLxWKxWCx/IqxxaLFYyiAi1wHXA61EZLnfW3HAnOo5K0uQ+R8w3ylfAjAaeLfazsZisVgsFku1YN1KLRZLGUSkFibe8CngXr+3MlU1tXrOyhJsRKQ7MNB5OVNVl1Tn+VgsFovFYql6rHFosVgsFovFYrFYLBY81X0CFovFYrFYLBaLxWKpfqxxaLFYLBaLxWKxWCwWaxxaLBaLxWKxWCwWi8UahxaLxWKxWCwWi8ViwRqHFovFYrFYLBaLxWIB/h8PDmHVA0uh6gAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1152x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "import xgboost as xgb\n",
    "import pickle\n",
    "import sys\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import make_scorer\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.preprocessing import LabelEncoder,LabelBinarizer\n",
    "from sklearn.model_selection  import cross_val_score\n",
    "from sklearn.model_selection import KFold,train_test_split\n",
    "from xgboost import XGBRegressor\n",
    "from sklearn.metrics import accuracy_score\n",
    "from icecream import ic\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "%matplotlib inline\n",
    "\n",
    "%config InlineBackend.figure_format = 'retina'"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "source": [
    "data1.head()\n"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>brand</th>\n",
       "      <th>serial</th>\n",
       "      <th>model</th>\n",
       "      <th>mileage</th>\n",
       "      <th>color</th>\n",
       "      <th>cityid</th>\n",
       "      <th>carcode</th>\n",
       "      <th>transfercount</th>\n",
       "      <th>seating</th>\n",
       "      <th>country</th>\n",
       "      <th>maketype</th>\n",
       "      <th>modelyear</th>\n",
       "      <th>displacement</th>\n",
       "      <th>gearbox</th>\n",
       "      <th>oiltype</th>\n",
       "      <th>newprice</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4.01</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>779413.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6.88</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11932050000</td>\n",
       "      <td>201709.0</td>\n",
       "      <td>1</td>\n",
       "      <td>4.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8.60</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>779415.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>11.98</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>12163010000</td>\n",
       "      <td>201609.0</td>\n",
       "      <td>2</td>\n",
       "      <td>7.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>15.56</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>12.78</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11254201875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6.04</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>779413.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.49</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14087871000</td>\n",
       "      <td>201608.0</td>\n",
       "      <td>2</td>\n",
       "      <td>4.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>5.70</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>779415.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>18.08</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>12355993870</td>\n",
       "      <td>201204.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5.90</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   brand  serial  model  mileage  color  cityid  carcode  transfercount  \\\n",
       "1      1       1      1     4.01      1       1      1.0              0   \n",
       "2      2       2      2     8.60      1       2      1.0              0   \n",
       "5      5       5      5    15.56      1       2      3.0              0   \n",
       "6      6       6      6     6.04      1       3      1.0              3   \n",
       "7      7       7      7     5.70      4       1      2.0              2   \n",
       "\n",
       "   seating   country  maketype  modelyear  displacement  gearbox  oiltype  \\\n",
       "1        5  779413.0       1.0     2017.0           1.5      1.0        1   \n",
       "2        5  779415.0       2.0     2017.0           1.2      2.0        1   \n",
       "5        5       NaN       NaN     2008.0           1.6      4.0        1   \n",
       "6        5  779413.0       1.0     2016.0           1.3      2.0        1   \n",
       "7        5  779415.0       2.0     2012.0           2.0      5.0        1   \n",
       "\n",
       "   newprice    0  1  2    3  4  5    7    8    9           11        12  13  \\\n",
       "1      6.88  1.0  1  1  1.0  1  1  1.0  5.0  2.0  11932050000  201709.0   1   \n",
       "2     11.98  1.0  2  2  2.0  2  2  2.0  4.0  3.0  12163010000  201609.0   2   \n",
       "5     12.78  1.0  2  2  5.0  5  2  NaN  NaN  NaN  11254201875       NaN   2   \n",
       "6      9.49  1.0  5  2  6.0  6  1  2.0  5.0  2.0  14087871000  201608.0   2   \n",
       "7     18.08  1.0  5  2  7.0  7  1  1.0  5.0  2.0  12355993870  201204.0   1   \n",
       "\n",
       "   price  \n",
       "1   4.24  \n",
       "2   7.38  \n",
       "5   1.00  \n",
       "6   4.38  \n",
       "7   5.90  "
      ]
     },
     "metadata": {},
     "execution_count": 15
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "source": [
    "\n",
    "features = [x for x in data1.columns if x not in ['price']]\n",
    "train_x=data1[features]\n",
    "train_y=data1['price']\n",
    "valid_x=vali1[features]\n",
    "X_train, X_test, y_train, y_test = train_test_split(train_x, train_y, test_size=0.2, random_state=0)##test_size测试集合所占比例\n"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "source": [
    "ic(X_train.shape)\n",
    "ic(y_train.shape)\n",
    "ic(X_test.shape)\n",
    "ic(y_test.shape)\n",
    "ic(valid_x.shape)"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "ic| X_train.shape: (24000, 28)\n",
      "ic| y_train.shape: (24000,)\n",
      "ic| X_test.shape: (6000, 28)\n",
      "ic| y_test.shape: (6000,)\n",
      "ic| valid_x.shape: (5000, 28)\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "(5000, 28)"
      ]
     },
     "metadata": {},
     "execution_count": 17
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "source": [
    "dtrain=xgb.DMatrix(X_train,y_train)\n",
    "dval=xgb.DMatrix(X_test,y_test)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "source": [
    "from xgboost import XGBRegressor\n",
    "my_model = XGBRegressor(n_estimators=500, learning_rate=0.05)\n",
    "my_model.fit(X_train, y_train, early_stopping_rounds=5, \n",
    "             eval_set=[(X_test, y_test)], verbose=True)\n"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "[0]\tvalidation_0-rmse:22.39258\n",
      "[1]\tvalidation_0-rmse:21.46926\n",
      "[2]\tvalidation_0-rmse:20.58751\n",
      "[3]\tvalidation_0-rmse:19.75768\n",
      "[4]\tvalidation_0-rmse:18.96808\n",
      "[5]\tvalidation_0-rmse:18.19680\n",
      "[6]\tvalidation_0-rmse:17.51051\n",
      "[7]\tvalidation_0-rmse:16.86144\n",
      "[8]\tvalidation_0-rmse:16.21887\n",
      "[9]\tvalidation_0-rmse:15.63250\n",
      "[10]\tvalidation_0-rmse:15.03622\n",
      "[11]\tvalidation_0-rmse:14.51120\n",
      "[12]\tvalidation_0-rmse:13.98190\n",
      "[13]\tvalidation_0-rmse:13.51105\n",
      "[14]\tvalidation_0-rmse:13.03484\n",
      "[15]\tvalidation_0-rmse:12.60751\n",
      "[16]\tvalidation_0-rmse:12.17497\n",
      "[17]\tvalidation_0-rmse:11.80192\n",
      "[18]\tvalidation_0-rmse:11.42879\n",
      "[19]\tvalidation_0-rmse:11.06998\n",
      "[20]\tvalidation_0-rmse:10.73523\n",
      "[21]\tvalidation_0-rmse:10.42987\n",
      "[22]\tvalidation_0-rmse:10.10488\n",
      "[23]\tvalidation_0-rmse:9.81882\n",
      "[24]\tvalidation_0-rmse:9.53489\n",
      "[25]\tvalidation_0-rmse:9.28398\n",
      "[26]\tvalidation_0-rmse:9.03291\n",
      "[27]\tvalidation_0-rmse:8.80713\n",
      "[28]\tvalidation_0-rmse:8.57552\n",
      "[29]\tvalidation_0-rmse:8.35382\n",
      "[30]\tvalidation_0-rmse:8.14868\n",
      "[31]\tvalidation_0-rmse:7.93731\n",
      "[32]\tvalidation_0-rmse:7.75492\n",
      "[33]\tvalidation_0-rmse:7.58217\n",
      "[34]\tvalidation_0-rmse:7.40766\n",
      "[35]\tvalidation_0-rmse:7.25344\n",
      "[36]\tvalidation_0-rmse:7.10027\n",
      "[37]\tvalidation_0-rmse:6.96308\n",
      "[38]\tvalidation_0-rmse:6.86988\n",
      "[39]\tvalidation_0-rmse:6.73804\n",
      "[40]\tvalidation_0-rmse:6.59488\n",
      "[41]\tvalidation_0-rmse:6.51405\n",
      "[42]\tvalidation_0-rmse:6.38537\n",
      "[43]\tvalidation_0-rmse:6.28790\n",
      "[44]\tvalidation_0-rmse:6.19413\n",
      "[45]\tvalidation_0-rmse:6.10144\n",
      "[46]\tvalidation_0-rmse:6.03954\n",
      "[47]\tvalidation_0-rmse:5.97686\n",
      "[48]\tvalidation_0-rmse:5.91607\n",
      "[49]\tvalidation_0-rmse:5.85555\n",
      "[50]\tvalidation_0-rmse:5.80402\n",
      "[51]\tvalidation_0-rmse:5.71779\n",
      "[52]\tvalidation_0-rmse:5.67576\n",
      "[53]\tvalidation_0-rmse:5.61430\n",
      "[54]\tvalidation_0-rmse:5.53924\n",
      "[55]\tvalidation_0-rmse:5.48260\n",
      "[56]\tvalidation_0-rmse:5.44768\n",
      "[57]\tvalidation_0-rmse:5.38379\n",
      "[58]\tvalidation_0-rmse:5.33428\n",
      "[59]\tvalidation_0-rmse:5.29802\n",
      "[60]\tvalidation_0-rmse:5.25322\n",
      "[61]\tvalidation_0-rmse:5.21053\n",
      "[62]\tvalidation_0-rmse:5.17228\n",
      "[63]\tvalidation_0-rmse:5.13264\n",
      "[64]\tvalidation_0-rmse:5.09691\n",
      "[65]\tvalidation_0-rmse:5.06476\n",
      "[66]\tvalidation_0-rmse:5.03517\n",
      "[67]\tvalidation_0-rmse:5.00204\n",
      "[68]\tvalidation_0-rmse:4.97034\n",
      "[69]\tvalidation_0-rmse:4.94483\n",
      "[70]\tvalidation_0-rmse:4.91638\n",
      "[71]\tvalidation_0-rmse:4.88736\n",
      "[72]\tvalidation_0-rmse:4.86049\n",
      "[73]\tvalidation_0-rmse:4.83538\n",
      "[74]\tvalidation_0-rmse:4.80803\n",
      "[75]\tvalidation_0-rmse:4.78534\n",
      "[76]\tvalidation_0-rmse:4.76029\n",
      "[77]\tvalidation_0-rmse:4.73897\n",
      "[78]\tvalidation_0-rmse:4.71771\n",
      "[79]\tvalidation_0-rmse:4.69843\n",
      "[80]\tvalidation_0-rmse:4.67706\n",
      "[81]\tvalidation_0-rmse:4.65519\n",
      "[82]\tvalidation_0-rmse:4.64046\n",
      "[83]\tvalidation_0-rmse:4.62394\n",
      "[84]\tvalidation_0-rmse:4.60598\n",
      "[85]\tvalidation_0-rmse:4.59077\n",
      "[86]\tvalidation_0-rmse:4.57266\n",
      "[87]\tvalidation_0-rmse:4.55640\n",
      "[88]\tvalidation_0-rmse:4.54163\n",
      "[89]\tvalidation_0-rmse:4.52717\n",
      "[90]\tvalidation_0-rmse:4.51786\n",
      "[91]\tvalidation_0-rmse:4.50993\n",
      "[92]\tvalidation_0-rmse:4.49815\n",
      "[93]\tvalidation_0-rmse:4.48517\n",
      "[94]\tvalidation_0-rmse:4.47415\n",
      "[95]\tvalidation_0-rmse:4.46817\n",
      "[96]\tvalidation_0-rmse:4.45458\n",
      "[97]\tvalidation_0-rmse:4.44308\n",
      "[98]\tvalidation_0-rmse:4.43444\n",
      "[99]\tvalidation_0-rmse:4.42988\n",
      "[100]\tvalidation_0-rmse:4.41937\n",
      "[101]\tvalidation_0-rmse:4.41560\n",
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      "[103]\tvalidation_0-rmse:4.39261\n",
      "[104]\tvalidation_0-rmse:4.38820\n",
      "[105]\tvalidation_0-rmse:4.37911\n",
      "[106]\tvalidation_0-rmse:4.37693\n",
      "[107]\tvalidation_0-rmse:4.36545\n",
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      "[109]\tvalidation_0-rmse:4.35291\n",
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      "[111]\tvalidation_0-rmse:4.33704\n",
      "[112]\tvalidation_0-rmse:4.33148\n",
      "[113]\tvalidation_0-rmse:4.32664\n",
      "[114]\tvalidation_0-rmse:4.31738\n",
      "[115]\tvalidation_0-rmse:4.31476\n",
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      "[118]\tvalidation_0-rmse:4.29056\n",
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      "[170]\tvalidation_0-rmse:4.10400\n",
      "[171]\tvalidation_0-rmse:4.09681\n",
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      "[180]\tvalidation_0-rmse:4.08651\n",
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      "[187]\tvalidation_0-rmse:4.07607\n",
      "[188]\tvalidation_0-rmse:4.07620\n",
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      "[191]\tvalidation_0-rmse:4.07400\n",
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      "[194]\tvalidation_0-rmse:4.06534\n",
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      "[196]\tvalidation_0-rmse:4.05940\n",
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      "[198]\tvalidation_0-rmse:4.05524\n",
      "[199]\tvalidation_0-rmse:4.05533\n",
      "[200]\tvalidation_0-rmse:4.05326\n",
      "[201]\tvalidation_0-rmse:4.05236\n",
      "[202]\tvalidation_0-rmse:4.04856\n",
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      "[204]\tvalidation_0-rmse:4.04154\n",
      "[205]\tvalidation_0-rmse:4.03995\n",
      "[206]\tvalidation_0-rmse:4.03851\n",
      "[207]\tvalidation_0-rmse:4.03680\n",
      "[208]\tvalidation_0-rmse:4.03633\n",
      "[209]\tvalidation_0-rmse:4.03496\n",
      "[210]\tvalidation_0-rmse:4.03251\n",
      "[211]\tvalidation_0-rmse:4.03158\n",
      "[212]\tvalidation_0-rmse:4.03043\n",
      "[213]\tvalidation_0-rmse:4.02835\n",
      "[214]\tvalidation_0-rmse:4.02676\n",
      "[215]\tvalidation_0-rmse:4.02555\n",
      "[216]\tvalidation_0-rmse:4.02651\n",
      "[217]\tvalidation_0-rmse:4.02607\n",
      "[218]\tvalidation_0-rmse:4.02175\n",
      "[219]\tvalidation_0-rmse:4.02125\n",
      "[220]\tvalidation_0-rmse:4.01865\n",
      "[221]\tvalidation_0-rmse:4.01849\n",
      "[222]\tvalidation_0-rmse:4.01798\n",
      "[223]\tvalidation_0-rmse:4.01502\n",
      "[224]\tvalidation_0-rmse:4.01182\n",
      "[225]\tvalidation_0-rmse:4.01146\n",
      "[226]\tvalidation_0-rmse:4.00981\n",
      "[227]\tvalidation_0-rmse:4.00929\n",
      "[228]\tvalidation_0-rmse:4.00798\n",
      "[229]\tvalidation_0-rmse:4.00606\n",
      "[230]\tvalidation_0-rmse:4.00490\n",
      "[231]\tvalidation_0-rmse:4.00300\n",
      "[232]\tvalidation_0-rmse:4.00239\n",
      "[233]\tvalidation_0-rmse:4.00430\n",
      "[234]\tvalidation_0-rmse:4.00207\n",
      "[235]\tvalidation_0-rmse:3.99973\n",
      "[236]\tvalidation_0-rmse:3.99532\n",
      "[237]\tvalidation_0-rmse:3.99484\n",
      "[238]\tvalidation_0-rmse:4.00079\n",
      "[239]\tvalidation_0-rmse:3.99908\n",
      "[240]\tvalidation_0-rmse:3.99785\n",
      "[241]\tvalidation_0-rmse:3.99635\n",
      "[242]\tvalidation_0-rmse:3.99565\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n",
       "             colsample_bynode=1, colsample_bytree=1, gamma=0, gpu_id=-1,\n",
       "             importance_type='gain', interaction_constraints='',\n",
       "             learning_rate=0.05, max_delta_step=0, max_depth=6,\n",
       "             min_child_weight=1, missing=nan, monotone_constraints='()',\n",
       "             n_estimators=500, n_jobs=8, num_parallel_tree=1, random_state=0,\n",
       "             reg_alpha=0, reg_lambda=1, scale_pos_weight=1, subsample=1,\n",
       "             tree_method='exact', validate_parameters=1, verbosity=None)"
      ]
     },
     "metadata": {},
     "execution_count": 19
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "source": [
    "prediction=my_model.predict(X_test)\n"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "source": [
    "from sklearn.metrics import explained_variance_score,mean_absolute_error,mean_squared_error,r2_score\n",
    "ic(explained_variance_score(prediction,y_test))\n",
    "ic(mean_absolute_error(prediction,y_test))\n",
    "ic(mean_squared_error(prediction,y_test))\n",
    "ic(r2_score(prediction,y_test))"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "ic| explained_variance_score(prediction,y_test): 0.9502065189336965\n",
      "ic| mean_absolute_error(prediction,y_test): 1.5438760317883937\n",
      "ic| mean_squared_error(prediction,y_test): 15.958776961209095\n",
      "ic| r2_score(prediction,y_test): 0.9501950868419028\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "0.9501950868419028"
      ]
     },
     "metadata": {},
     "execution_count": 21
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "source": [
    "print(prediction[0:10])\n",
    "print(y_test[0:10])\n",
    "print(abs(prediction-y_test).sum())\n",
    "print(prediction.shape)"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "[ 8.737792  20.61021    4.130127  22.256361  22.253311   3.9312599\n",
      " 11.380577   3.5381336  9.091379  11.604501 ]\n",
      "58304     6.40\n",
      "56356    20.50\n",
      "64916     2.88\n",
      "48683    25.90\n",
      "45905    22.00\n",
      "51088     3.40\n",
      "562      10.00\n",
      "15379     3.18\n",
      "22277     6.50\n",
      "18178    13.50\n",
      "Name: price, dtype: float64\n",
      "9263.256190730363\n",
      "(6000,)\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "source": [
    "prediction2=my_model.predict(valid_x)\n",
    "print(prediction2)\n"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "[17.05056    9.864657   2.2127888 ...  6.6406374  3.5812042 12.847562 ]\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "source": [
    "data_test['price']=prediction2"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "source": [
    "data_test.to_csv('./模型结果.csv',float_format='%.2f',sep='\\t',columns=['price'],index=1,header=0)"
   ],
   "outputs": [],
   "metadata": {}
  }
 ],
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